kopia lustrzana https://github.com/Developer-Y/cs-video-courses
Developer-Y
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# Contribution Guidelines
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## Contribution Guidelines
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- Recently quality of MOOCs has diminished, therefore only MOOCs with comprehensive lecture material which cover a subject/topic in ample detail will be added. For example, MOOC on Computer Networks or Machine Learning with 4-5 hours may not be able to cover all topics in sufficient detail and thus should be avoided.
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- One philosophy used in this list while integrating MOOCs is that link should directly point to videos for viewing/downloading than registration and waiting for the next session. If videos are directly accessible through the platform/youtube or any other source, please use the direct source. This is list of video courses, not a list of MOOCs.
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- Courses within a section are roughly sorted in terms of level i.e. undergraduate courses followed by upper level undergraduate, followed by graduate courses. As courses are from multiple Universities, sorting is not perfect and only an approximation. For example, while adding a new undergraduate course on Algorithms, please feel free to add it along with other Algorithms courses than after graduate courses.
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5
NOTES.md
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NOTES.md
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# Notes
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## Notes
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- Intent of this list is to act as Online bookmarks/lookup table for freely available online video courses. Focus would be to keep the list concise so that it is easy to browse. It would be easier to skim through 15 page list, find the course and start learning than having to read 60 pages of text. If you are student or from non-CS background, please try few courses to decide for yourself as to which course suits your learning curve best.
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- 90% courses on Data Structures/Algorithms/Operating Systems/Machine Learning/Computer Networks/etc tend to have 80-90% overlap in curriculum. Descriptions for courses are helpful but adding descriptions/comments for each course can lead to repetition/subjective opinions. As a tradeoff, metadata like course number, name, prof, year, University/platform for Course is added in the URL itself. To access syllabus/notes/assignments, please visit link to the course or use Google search with course number/name. If a course has excellent notes/assignments/projects which cannot be reached through video's link, please feel free to add links alongside.
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- If available, please add following information to the link - <Course-Number> <Course-Name> <Year> <Prof Name> <University Name/Platform>.
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- If you are bored reading above 10 lines, imagine reading descriptions for hundreds of courses :)
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- If You need assistance in deciding order in which courses should be taken, please refer to sample Course prerequisite charts by Universities to familiarize yourself with standard CS curriculum. If you need to know prerequisites for a particular course not covered by below samples, please check the course link or try Google.
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- If You need assistance in deciding order in which courses should be taken, please refer to sample Course prerequsite charts by Universities to familiarize yourself with standard CS curriculum. If you need to know prerequisites for a particular course not covered by below samples, please check the course link or try Google.
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- [MIT Curriculum Guide](https://ocw.mit.edu/courses/mit-curriculum-guide/)
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- [MIT New (Fall 2016) Degree Requirements](https://www.eecs.mit.edu/curriculum2016)
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- [Stanford Current CS Program Sheets](http://csmajor.stanford.edu/ProgramSheets.shtml)
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610
README.md
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README.md
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# Computer Science courses with video lectures
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## Computer Science courses with video lectures
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## Introduction
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**Introduction**
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- Please check [NOTES](https://github.com/Developer-Y/cs-video-courses/blob/master/NOTES.md) for general information about this list.
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- Please refer [CONTRIBUTING.md](https://github.com/Developer-Y/cs-video-courses/blob/master/CONTRIBUTING.md) for contribution guidelines.
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------------------------------
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Table of Contents
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------------------------------
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- [Introduction to Computer Science](#introduction-to-computer-science)
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- [Data Structures and Algorithms](#data-structures-and-algorithms)
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- [Systems Programming](#systems-programming)
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@ -35,8 +34,7 @@ Table of Contents
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- [Blockchain Development](#blockchain-development)
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- [Misc](#misc)
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## Courses
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Courses
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------------------------------
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### Introduction to Computer Science
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- [Modern C++ Course (2018) - Bonn University](https://www.youtube.com/playlist?list=PLgnQpQtFTOGR50iIOtO36nK6aNPtVq98C)
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- [Modern C++ (Lecture & Tutorials, 2020, Vizzo & Stachniss) - University of Bonn](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRM59sr3nSL8BmeMZR9GCIA)
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------------------------------
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------
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### Data Structures and Algorithms
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@ -120,7 +118,7 @@ Table of Contents
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- [Graph Theory - IISC Bangalore](https://nptel.ac.in/courses/106108054/)
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- [Data Structures - mycodeschool](https://www.youtube.com/watch?v=92S4zgXN17o&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
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------------------------------
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---------------------------------
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### Systems Programming
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@ -166,7 +164,9 @@ Table of Contents
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- [MAP6264 - Queueing Theory - FAU](http://www.cse.fau.edu/~bob/courses/map6264/)([Video Lectures](https://vimeo.com/album/171324/))
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- [EE 380 Colloquim on Computer Systems - Stanford University](http://web.stanford.edu/class/ee380/) ([Lecture videos](https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu))
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------------------------------
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------------------------------------------------------------
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### Database Systems
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- [In-Memory Data Management (2013)Prof. Hasso Plattner - HPI](https://open.hpi.de/courses/imdb2013/items/72j6pftms3dOSunM98JhfW)
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- [Distributed Data Management (WT 2019/20) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1285/)
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------------------------------
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### Software Engineering
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- **Object Oriented Design**
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- [ECE 462 Object-Oriented Programming using C++ and Java - Purdue](https://engineering.purdue.edu/OOSD/F2008/F2008.html)
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- [Object-oriented Program Design and Software Engineering - Aduni](http://aduni.org/courses/java/index.php?view=cw)
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- [OOSE - Object-Oriented Software Engineering, Dr. Tim Lethbridge](https://www.youtube.com/playlist?list=PL6iDJCG2nkhfNlig8NY5ePPfGvtQX6yLa)
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- [Object Oriented Systems Analysis and Design (Systems Analysis and Design in a Changing World)](https://www.youtube.com/playlist?list=PL6XklZATqYx9dj72MKG6wLYjljeB2odra)
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- [CS 251 - Intermediate Software Design (C++ version) - Vanderbilt University](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp4ZsvD10uXmClGnukcu3Uff)
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- [OOSE - Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
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- [Object-Oriented Analysis and Design - IIT Kharagpur](https://nptel.ac.in/courses/106105153/)
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- [CS3 - Design in Computing - Richard Buckland UNSW](https://www.youtube.com/course?list=EC0C5D85DBA20E685C)
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- [Informatics 1 - Object-Oriented Programming 2014/15- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/inf1op.htm)
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- [Software Engineering with Objects and Components 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/seoc.htm)
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- [ECE 462 Object-Oriented Programming using C++ and Java - Purdue](https://engineering.purdue.edu/OOSD/F2008/F2008.html)
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- [Object-oriented Program Design and Software Engineering - Aduni](http://aduni.org/courses/java/index.php?view=cw)
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- [OOSE - Object-Oriented Software Engineering, Dr. Tim Lethbridge](https://www.youtube.com/playlist?list=PL6iDJCG2nkhfNlig8NY5ePPfGvtQX6yLa)
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- [Object Oriented Systems Analysis and Design (Systems Analysis and Design in a Changing World)](https://www.youtube.com/playlist?list=PL6XklZATqYx9dj72MKG6wLYjljeB2odra)
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- [CS 251 - Intermediate Software Design (C++ version) - Vanderbilt University](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp4ZsvD10uXmClGnukcu3Uff)
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- [OOSE - Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
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- [Object-Oriented Analysis and Design - IIT Kharagpur](https://nptel.ac.in/courses/106105153/)
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- [CS3 - Design in Computing - Richard Buckland UNSW](https://www.youtube.com/course?list=EC0C5D85DBA20E685C)
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- [Informatics 1 - Object-Oriented Programming 2014/15- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/inf1op.htm)
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- [Software Engineering with Objects and Components 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/seoc.htm)
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- **Software Engineering**
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- [Computer Science 169- Software Engineering - Spring 2015 - UCBerkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iCfQHHS7rxlfHFsU4aQW1IF)
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- [Computer Science 169- Software Engineering - Fall 2019 - UCBerkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIxCKgzL0uysjsAtfY3JawLS)
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- [CS 5150 - Software Engineering, Fall 2014 - Cornell University](http://www.cs.cornell.edu/courses/cs5150/2014fa/materials.html)
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- [Introduction to Service Design and Engineering - University of Trento, Italy](https://www.youtube.com/playlist?list=PLBdajHWwi0JCn87QuFT3e58mekU0-6WUT)
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- [CS 164 Software Engineering - Harvard](http://cs164.tv/2014/spring/)
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- [System Analysis and Design - IISC Bangalore](https://nptel.ac.in/courses/106108102/)
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- [Software Engineering - IIT Bombay](https://nptel.ac.in/courses/106101061/)
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- [Dependable Systems (SS 2014)- HPI University of Potsdam](https://www.tele-task.de/series/1005/)
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- [Software Testing - IIT Kharagpur](https://nptel.ac.in/courses/106105150/)
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- [Software Testing - Udacity, course-cs258 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g)
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- [Software Debugging - Udacity, course-cs259 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A)
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- [Software Engineering - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=jouBM4AH0jw&list=PLjEglKdMOevU2STTGq79duxTXDFuO-k1H&index=2)
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- [Computer Science 169- Software Engineering - Spring 2015 - UCBerkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iCfQHHS7rxlfHFsU4aQW1IF)
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- [Computer Science 169- Software Engineering - Fall 2019 - UCBerkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIxCKgzL0uysjsAtfY3JawLS)
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- [CS 5150 - Software Engineering, Fall 2014 - Cornell University](http://www.cs.cornell.edu/courses/cs5150/2014fa/materials.html)
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- [Introduction to Service Design and Engineering - University of Trento, Italy](https://www.youtube.com/playlist?list=PLBdajHWwi0JCn87QuFT3e58mekU0-6WUT)
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- [CS 164 Software Engineering - Harvard](http://cs164.tv/2014/spring/)
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- [System Analysis and Design - IISC Bangalore](https://nptel.ac.in/courses/106108102/)
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- [Software Engineering - IIT Bombay](https://nptel.ac.in/courses/106101061/)
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- [Dependable Systems (SS 2014)- HPI University of Potsdam](https://www.tele-task.de/series/1005/)
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- [Software Testing - IIT Kharagpur](https://nptel.ac.in/courses/106105150/)
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- [Software Testing - Udacity, course-cs258 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g)
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- [Software Debugging - Udacity, course-cs259 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A)
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- [Software Engineering - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=jouBM4AH0jw&list=PLjEglKdMOevU2STTGq79duxTXDFuO-k1H&index=2)
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- **Software Architecture**
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- [CS 411 - Software Architecture Design - Bilkent University](http://video.bilkent.edu.tr/course_videos.php?courseid=10)
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- [MOOC - Software Architecture & Design - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkMTetlG7xKWaI5ZAZFX8fL)
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- [CS 411 - Software Architecture Design - Bilkent University](http://video.bilkent.edu.tr/course_videos.php?courseid=10)
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- [MOOC - Software Architecture & Design - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkMTetlG7xKWaI5ZAZFX8fL)
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- **Concurrency**
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- [CS176 - Multiprocessor Synchronization - Brown University](http://cs.brown.edu/courses/cs176/course_information.shtml) ([Videos from 2012](http://www.brown.edu/cis/sta/dev/herlihy_csci1760_fa12/#vid))
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- [CS 282 (2014): Concurrent Java Network Programming in Android](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp4KSJPUyaQCj7x--NQ6kvcX)
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- [CSE P 506 – Concurrency, Spring 2011 - University of Washington](https://courses.cs.washington.edu/courses/csep506/11sp/Home.html) ([Videos](https://courses.cs.washington.edu/courses/csep506/11sp/Videos.html))
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- [CSEP 524 - Parallel Computation - University of Washington](https://courses.cs.washington.edu/courses/csep524/10sp/) ([Videos](https://courses.cs.washington.edu/courses/csep524/10sp/lectures/video.html))
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- [Parallel Programming Concepts (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/977/)
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- [Parallel Programming Concepts (WT 2012/13) - HPI University of Potsdam](https://www.tele-task.de/series/924/)
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- [CS176 - Multiprocessor Synchronization - Brown University](http://cs.brown.edu/courses/cs176/course_information.shtml) ([Videos from 2012](http://www.brown.edu/cis/sta/dev/herlihy_csci1760_fa12/#vid))
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- [CS 282 (2014): Concurrent Java Network Programming in Android](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp4KSJPUyaQCj7x--NQ6kvcX)
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- [CSE P 506 – Concurrency, Spring 2011 - University of Washington](https://courses.cs.washington.edu/courses/csep506/11sp/Home.html) ([Videos](https://courses.cs.washington.edu/courses/csep506/11sp/Videos.html))
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- [CSEP 524 - Parallel Computation - University of Washington](https://courses.cs.washington.edu/courses/csep524/10sp/) ([Videos](https://courses.cs.washington.edu/courses/csep524/10sp/lectures/video.html))
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- [Parallel Programming Concepts (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/977/)
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- [Parallel Programming Concepts (WT 2012/13) - HPI University of Potsdam](https://www.tele-task.de/series/924/)
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- **Mobile Application Development**
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- [MOOC Programming Mobile Applications for Android Handheld Systems - University of Maryland](https://www.youtube.com/playlist?list=PLkHsKoi6eZnwilGXUc95CqS7Vw4uLLDLG)
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- [CS 193p - Developing Applications for iOS, Stanford University](https://itunes.apple.com/us/course/developing-ios-9-apps-swift/id1104579961)
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- [CS S-76 Building Mobile Applications - Harvard](http://cs76.tv/2013/summer/)
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- [CS 251 (2015): Intermediate Software Design](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp7lylj-XC8h1kjatOjbh9ne)
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- [Android App Development for Beginners Playlist - thenewboston](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGBsvRxJJOzG4r4k_zLKrnxl)
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- [Android Application Development Tutorials - thenewboston](https://www.youtube.com/playlist?list=PL2F07DBCDCC01493A)
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- [MOOC - Developing Android Apps - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnMwH5-FNkErnnq_aSy706S)
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- [MOOC - Advanced Android App Development - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmETCT07vnDSiIaUBuyut0X)
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- [CSSE490 Android Development Rose-Hulman Winter 2010-2011, Dave Fisher](https://www.youtube.com/playlist?list=PLF3EEB647F6B52F03)
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- [iOS Course, Dave Fisher](https://www.youtube.com/playlist?list=PL96C635E4DCD393A8)
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- [Developing iPad Applications for Visualization and Insight - Carnegie Mellon University](https://itunes.apple.com/us/course/developing-ipad-applications/id499050344)
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- [Mobile Computing - IIT Madras](https://nptel.ac.in/courses/106106147/)
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- [Mobile Information Systems - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=8EmbrZJwMOI&list=PLjEglKdMOevWv4zPW0diw7iJFdT7s4sTP)
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- [MOOC Programming Mobile Applications for Android Handheld Systems - University of Maryland](https://www.youtube.com/playlist?list=PLkHsKoi6eZnwilGXUc95CqS7Vw4uLLDLG)
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- [CS 193p - Developing Applications for iOS, Stanford University](https://itunes.apple.com/us/course/developing-ios-9-apps-swift/id1104579961)
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- [CS S-76 Building Mobile Applications - Harvard](http://cs76.tv/2013/summer/)
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- [CS 251 (2015): Intermediate Software Design](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp7lylj-XC8h1kjatOjbh9ne)
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- [Android App Development for Beginners Playlist - thenewboston](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGBsvRxJJOzG4r4k_zLKrnxl)
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- [Android Application Development Tutorials - thenewboston](https://www.youtube.com/playlist?list=PL2F07DBCDCC01493A)
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- [MOOC - Developing Android Apps - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnMwH5-FNkErnnq_aSy706S)
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- [MOOC - Advanced Android App Development - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmETCT07vnDSiIaUBuyut0X)
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- [CSSE490 Android Development Rose-Hulman Winter 2010-2011, Dave Fisher](https://www.youtube.com/playlist?list=PLF3EEB647F6B52F03)
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- [iOS Course, Dave Fisher](https://www.youtube.com/playlist?list=PL96C635E4DCD393A8)
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- [Developing iPad Applications for Visualization and Insight - Carnegie Mellon University](https://itunes.apple.com/us/course/developing-ipad-applications/id499050344)
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- [Mobile Computing - IIT Madras](https://nptel.ac.in/courses/106106147/)
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- [Mobile Information Systems - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=8EmbrZJwMOI&list=PLjEglKdMOevWv4zPW0diw7iJFdT7s4sTP)
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------------------------------
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### Artificial Intelligence
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- [CS50 - Introduction to Artificial Intelligence with Python (and Machine Learning), Harvard OCW](https://cs50.harvard.edu/ai/2020/)
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- [CS 188 - Introduction to Artificial Intelligence, UC Berkeley - Spring 2015](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs188-spring2015-berkeley.html)
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- [6.034 Artificial Intelligence, MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/)
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- [Semantic Web Technologies by Dr. Harald Sack - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAeihlKcWpzVzB51rr014TwD)
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- [Knowledge Engineering with Semantic Web Technologies by Dr. Harald Sack - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAcBXlhTti7kzetSsi1PpJGR)
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------------------------------
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--------------
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### Machine Learning
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- **Introduction to Machine Learning**
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- [MOOC Machine Learning Andrew Ng - Coursera/Stanford](https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN) ([Notes](http://www.holehouse.org/mlclass/))
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- [Introduction to Machine Learning for Coders](https://course.fast.ai/ml.html)
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- [MOOC - Statistical Learning, Stanford University](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
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- [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
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- [CS155 - Machine Learning & Data Mining, 2017 - Caltech](https://www.youtube.com/playlist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC) ([Notes](http://www.yisongyue.com/courses/cs155/2017_winter/)) ([2016](https://www.youtube.com/playlist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))
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- [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html)
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- [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) ([YouTube](https://www.youtube.com/playlist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ))
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- [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
|
||||
- [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn))
|
||||
- [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk)
|
||||
- [CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)
|
||||
- [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
|
||||
- [CS 446 - Machine Learning, Spring 2019, UIUC](https://courses.engr.illinois.edu/cs446/sp2019/AGS/_site/) ([Fall 2016 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O))
|
||||
- [undergraduate machine learning at UBC 2012, Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)
|
||||
- [CS 229 - Machine Learning - Stanford University](https://see.stanford.edu/Course/CS229) ([Autumn 2018](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU))
|
||||
- [CS 189/289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley](https://people.eecs.berkeley.edu/~jrs/189/)
|
||||
- [CPSC 340: Machine Learning and Data Mining (2018) - UBC](https://www.youtube.com/playlist?list=PLWmXHcz_53Q02ZLeAxigki1JZFfCO6M-b)
|
||||
- [CS4780/5780 Machine Learning, Fall 2013 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2013fa/)
|
||||
- [CS4780/5780 Machine Learning, Fall 2018 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2018fa/page18/index.html) ([Youtube](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS))
|
||||
- [CSE474/574 Introduction to Machine Learning - SUNY University at Buffalo](https://www.youtube.com/playlist?list=PLEQDy5tl3xkMzk_zlo2DPzXteCquHA8bQ)
|
||||
- [CS 5350/6350 - Machine Learning, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B)
|
||||
- [ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech](https://filebox.ece.vt.edu/~s15ece5984/)
|
||||
- [CSx824/ECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech](https://www.youtube.com/playlist?list=PLUenpfvlyoa0rMoE5nXA8kdctBKE9eSob)
|
||||
- [STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto](http://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html)
|
||||
- [CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo](https://www.youtube.com/channel/UCR4_akQ1HYMUcDszPQ6jh8Q/videos)
|
||||
- [STAT 441/841 Classification Winter 2017 , Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG)
|
||||
- [10-605 - Machine Learning with Large Datasets, Fall 2016 - CMU](https://www.youtube.com/channel/UCIE4UdPoCJZMAZrTLuq-CPQ/videos)
|
||||
- [Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
|
||||
- [Python and machine learning - Stanford Crowd Course Initiative](https://www.youtube.com/playlist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB)
|
||||
- [MOOC - Machine Learning Part 1a - Udacity/Georgia Tech](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo) ([Part 1b](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlkESDcHD-0oqVx5sAIgz7O) [Part 2](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7) [Part 3](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp))
|
||||
- [Machine Learning and Pattern Recognition 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/mlpr.htm)
|
||||
- [Introductory Applied Machine Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/iaml.htm)
|
||||
- [Pattern Recognition Class (2012)- Universität Heidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRDZVU6wxPzGdx1CN12fn0w)
|
||||
- [Introduction to Machine Learning and Pattern Recognition - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PPGGtFsTNoDWKl-VNVX5d6b)
|
||||
- [Introduction to Machine Learning - IIT Kharagpur](https://nptel.ac.in/courses/106105152/)
|
||||
- [Introduction to Machine Learning - IIT Madras](https://nptel.ac.in/courses/106106139/)
|
||||
- [Pattern Recognition - IISC Bangalore](https://nptel.ac.in/courses/117108048/)
|
||||
- [Pattern Recognition and Application - IIT Kharagpur](https://nptel.ac.in/courses/117105101/)
|
||||
- [Pattern Recognition - IIT Madras](https://nptel.ac.in/courses/106106046/)
|
||||
- [Machine Learning Summer School 2013 - Max Planck Institute for Intelligent Systems Tübingen](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
|
||||
- [Machine Learning - Professor Kogan (Spring 2016) - Rutgers](https://www.youtube.com/playlist?list=PLauepKFT6DK_1_plY78bXMDj-bshv7UsQ)
|
||||
- [CS273a: Introduction to Machine Learning](http://sli.ics.uci.edu/Classes/2015W-273a) ([YouTube](https://www.youtube.com/playlist?list=PLkWzaBlA7utJMRi89i9FAKMopL0h0LBMk))
|
||||
- [Machine Learning Crash Course 2015](https://www.youtube.com/playlist?list=PLyGKBDfnk-iD5dK8N7UBUFVVDBBtznenR)
|
||||
- [COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16](http://inverseprobability.com/mlai2015/)
|
||||
- [10715 Advanced Introduction to Machine Learning](https://sites.google.com/site/10715advancedmlintro2017f/lectures)
|
||||
- [Introduction to Machine Learning - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
|
||||
- [Machine Learning - Pedro Domingos- University of Washington](https://www.youtube.com/user/UWCSE/playlists?view=50&sort=dd&shelf_id=16)
|
||||
- [Advanced Machine Learning - 2019 - ETH Zürich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwSe98pzMGVR4bjAZZYrNT7L)
|
||||
- [Machine Learning (COMP09012)](https://www.youtube.com/playlist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t)
|
||||
- [Probabilistic Machine Learning 2020 - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
|
||||
- [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
|
||||
- [COMS W4995 - Applied Machine Learning - Spring 2020 - Columbia University](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/)
|
||||
- [MOOC Machine Learning Andrew Ng - Coursera/Stanford](https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN) ([Notes](http://www.holehouse.org/mlclass/))
|
||||
- [Introduction to Machine Learning for Coders](https://course.fast.ai/ml.html)
|
||||
- [MOOC - Statistical Learning, Stanford University](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
|
||||
- [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
|
||||
- [CS155 - Machine Learning & Data Mining, 2017 - Caltech](https://www.youtube.com/playlist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC) ([Notes](http://www.yisongyue.com/courses/cs155/2017_winter/)) ([2016](https://www.youtube.com/playlist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))
|
||||
- [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html)
|
||||
- [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) ([YouTube](https://www.youtube.com/playlist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ))
|
||||
- [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
|
||||
- [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn))
|
||||
- [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk)
|
||||
- [CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)
|
||||
- [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
|
||||
- [CS 446 - Machine Learning, Spring 2019, UIUC](https://courses.engr.illinois.edu/cs446/sp2019/AGS/_site/)([ Fall 2016 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O))
|
||||
- [undergraduate machine learning at UBC 2012, Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)
|
||||
- [CS 229 - Machine Learning - Stanford University](https://see.stanford.edu/Course/CS229) ([Autumn 2018](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU))
|
||||
- [CS 189/289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley](https://people.eecs.berkeley.edu/~jrs/189/)
|
||||
- [CPSC 340: Machine Learning and Data Mining (2018) - UBC](https://www.youtube.com/playlist?list=PLWmXHcz_53Q02ZLeAxigki1JZFfCO6M-b)
|
||||
- [CS4780/5780 Machine Learning, Fall 2013 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2013fa/)
|
||||
- [CS4780/5780 Machine Learning, Fall 2018 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2018fa/page18/index.html) ([Youtube](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS))
|
||||
- [CSE474/574 Introduction to Machine Learning - SUNY University at Buffalo](https://www.youtube.com/playlist?list=PLEQDy5tl3xkMzk_zlo2DPzXteCquHA8bQ)
|
||||
- [CS 5350/6350 - Machine Learning, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B)
|
||||
- [ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech](https://filebox.ece.vt.edu/~s15ece5984/)
|
||||
- [CSx824/ECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech](https://www.youtube.com/playlist?list=PLUenpfvlyoa0rMoE5nXA8kdctBKE9eSob)
|
||||
- [STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto](http://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html)
|
||||
- [CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo](https://www.youtube.com/channel/UCR4_akQ1HYMUcDszPQ6jh8Q/videos)
|
||||
- [STAT 441/841 Classification Winter 2017 , Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG)
|
||||
- [10-605 - Machine Learning with Large Datasets, Fall 2016 - CMU](https://www.youtube.com/channel/UCIE4UdPoCJZMAZrTLuq-CPQ/videos)
|
||||
- [Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
|
||||
- [Python and machine learning - Stanford Crowd Course Initiative](https://www.youtube.com/playlist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB)
|
||||
- [MOOC - Machine Learning Part 1a - Udacity/Georgia Tech](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo) ([Part 1b](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlkESDcHD-0oqVx5sAIgz7O) [Part 2](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7) [Part 3](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp))
|
||||
- [Machine Learning and Pattern Recognition 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/mlpr.htm)
|
||||
- [Introductory Applied Machine Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/iaml.htm)
|
||||
- [Pattern Recognition Class (2012)- Universität Heidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRDZVU6wxPzGdx1CN12fn0w)
|
||||
- [Introduction to Machine Learning and Pattern Recognition - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PPGGtFsTNoDWKl-VNVX5d6b)
|
||||
- [Introduction to Machine Learning - IIT Kharagpur](https://nptel.ac.in/courses/106105152/)
|
||||
- [Introduction to Machine Learning - IIT Madras](https://nptel.ac.in/courses/106106139/)
|
||||
- [Pattern Recognition - IISC Bangalore](https://nptel.ac.in/courses/117108048/)
|
||||
- [Pattern Recognition and Application - IIT Kharagpur](https://nptel.ac.in/courses/117105101/)
|
||||
- [Pattern Recognition - IIT Madras](https://nptel.ac.in/courses/106106046/)
|
||||
- [Machine Learning Summer School 2013 - Max Planck Institute for Intelligent Systems Tübingen](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
|
||||
- [Machine Learning - Professor Kogan (Spring 2016) - Rutgers](https://www.youtube.com/playlist?list=PLauepKFT6DK_1_plY78bXMDj-bshv7UsQ)
|
||||
- [CS273a: Introduction to Machine Learning](http://sli.ics.uci.edu/Classes/2015W-273a) ([YouTube](https://www.youtube.com/playlist?list=PLkWzaBlA7utJMRi89i9FAKMopL0h0LBMk))
|
||||
- [Machine Learning Crash Course 2015](https://www.youtube.com/playlist?list=PLyGKBDfnk-iD5dK8N7UBUFVVDBBtznenR)
|
||||
- [COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16](http://inverseprobability.com/mlai2015/)
|
||||
- [10715 Advanced Introduction to Machine Learning](https://sites.google.com/site/10715advancedmlintro2017f/lectures)
|
||||
- [Introduction to Machine Learning - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
|
||||
- [Machine Learning - Pedro Domingos- University of Washington](https://www.youtube.com/user/UWCSE/playlists?view=50&sort=dd&shelf_id=16)
|
||||
- [Advanced Machine Learning - 2019 - ETH Zürich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwSe98pzMGVR4bjAZZYrNT7L)
|
||||
- [Machine Learning (COMP09012)](https://www.youtube.com/playlist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t)
|
||||
- [Probabilistic Machine Learning 2020 - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
|
||||
- [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
|
||||
- [COMS W4995 - Applied Machine Learning - Spring 2020 - Columbia University](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/)
|
||||
- **Data Mining**
|
||||
- [CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington](https://courses.cs.washington.edu/courses/csep546/16sp/) ([YouTube](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr))
|
||||
- [CS 5140/6140 - Data Mining, Spring 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB))
|
||||
- [CS 5955/6955 - Data Mining, University of Utah](http://www.cs.utah.edu/~jeffp/teaching/cs5955.html) ([YouTube](https://www.youtube.com/channel/UCcrlwW88yMcXujhGjSP2WBg/videos))
|
||||
- [Statistics 202 - Statistical Aspects of Data Mining, Summer 2007 - Google](http://www.stats202.com/original_index.html) ([YouTube](https://www.youtube.com/playlist?list=PLFE776F2C513A744E))
|
||||
- [MOOC - Text Mining and Analytics by ChengXiang Zhai](https://www.youtube.com/playlist?list=PLLssT5z_DsK8Xwnh_0bjN4KNT81bekvtt)
|
||||
- [Information Retrieval SS 2014, iTunes - HPI](https://itunes.apple.com/us/itunes-u/information-retrieval-ss-2014/id874200291)
|
||||
- [MOOC - Data Mining with Weka](https://www.youtube.com/playlist?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD)
|
||||
- [CS 290 DataMining Lectures](https://www.youtube.com/playlist?list=PLB4CCA346A5741C4C)
|
||||
- [CS246 - Mining Massive Data Sets, Winter 2016, Stanford University](https://web.stanford.edu/class/cs246/) ([YouTube](https://www.youtube.com/channel/UC_Oao2FYkLAUlUVkBfze4jg/videos))
|
||||
- [Data Mining: Learning From Large Datasets - Fall 2017 - ETH Zurich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwRHZO6L6yT253VPgrZazQs6)
|
||||
- [Information Retrieval - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn)
|
||||
- [CAP6673 - Data Mining and Machine Learning - FAU](http://www.cse.fau.edu/~taghi/classes/cap6673/)([Video lectures](https://vimeo.com/album/1505953))
|
||||
- [Data Warehousing and Data Mining Techniques - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/dwh)
|
||||
- [CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington](https://courses.cs.washington.edu/courses/csep546/16sp/) ([YouTube](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr))
|
||||
- [CS 5140/6140 - Data Mining, Spring 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB))
|
||||
- [CS 5955/6955 - Data Mining, University of Utah](http://www.cs.utah.edu/~jeffp/teaching/cs5955.html) ([YouTube](https://www.youtube.com/channel/UCcrlwW88yMcXujhGjSP2WBg/videos))
|
||||
- [Statistics 202 - Statistical Aspects of Data Mining, Summer 2007 - Google](http://www.stats202.com/original_index.html) ([YouTube](https://www.youtube.com/playlist?list=PLFE776F2C513A744E))
|
||||
- [MOOC - Text Mining and Analytics by ChengXiang Zhai](https://www.youtube.com/playlist?list=PLLssT5z_DsK8Xwnh_0bjN4KNT81bekvtt)
|
||||
- [Information Retrieval SS 2014, iTunes - HPI](https://itunes.apple.com/us/itunes-u/information-retrieval-ss-2014/id874200291)
|
||||
- [MOOC - Data Mining with Weka](https://www.youtube.com/playlist?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD)
|
||||
- [CS 290 DataMining Lectures](https://www.youtube.com/playlist?list=PLB4CCA346A5741C4C)
|
||||
- [CS246 - Mining Massive Data Sets, Winter 2016, Stanford University](https://web.stanford.edu/class/cs246/) ([YouTube](https://www.youtube.com/channel/UC_Oao2FYkLAUlUVkBfze4jg/videos))
|
||||
- [Data Mining: Learning From Large Datasets - Fall 2017 - ETH Zurich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwRHZO6L6yT253VPgrZazQs6)
|
||||
- [Information Retrieval - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn)
|
||||
- [CAP6673 - Data Mining and Machine Learning - FAU](http://www.cse.fau.edu/~taghi/classes/cap6673/)([Video lectures](https://vimeo.com/album/1505953))
|
||||
- [Data Warehousing and Data Mining Techniques - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/dwh)
|
||||
- **Data Science**
|
||||
- [Data 8: The Foundations of Data Science - UC Berkeley](http://data8.org/) ([Summer 17](http://data8.org/su17/))
|
||||
- [CSE519 - Data Science Fall 2016 - Skiena, SBU](https://www.youtube.com/playlist?list=PLOtl7M3yp-DVBdLYatrltDJr56AKZ1qXo)
|
||||
- [CS 109 Data Science, Harvard University](http://cs109.github.io/2015/pages/videos.html) ([YouTube](https://www.youtube.com/playlist?list=PLb4G5axmLqiuneCqlJD2bYFkBwHuOzKus))
|
||||
- [6.0002 Introduction to Computational Thinking and Data Science - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/)
|
||||
- [Data 100 - Summer 19- UC Berkeley](https://www.youtube.com/playlist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR)
|
||||
- [Distributed Data Analytics (WT 2017/18) - HPI University of Potsdam](https://www.tele-task.de/series/1179/)
|
||||
- [Statistics 133 - Concepts in Computing with Data, Fall 2013 - UC Berkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iDsSPnMJlnhIyADGUmikoIO)
|
||||
- [Data Profiling and Data Cleansing (WS 2014/15) - HPI University of Potsdam](https://www.tele-task.de/series/1027/)
|
||||
- [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
|
||||
- [CS 229r - Algorithms for Big Data, Harvard University](http://people.seas.harvard.edu/~minilek/cs229r/fall15/lec.html) ([Youtube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0v1kQTpqpuu5kEJo2i-iUyf))
|
||||
- [Algorithms for Big Data - IIT Madras](https://nptel.ac.in/courses/106106142/)
|
||||
- [Data 8: The Foundations of Data Science - UC Berkeley](http://data8.org/) ([Summer 17](http://data8.org/su17/))
|
||||
- [CSE519 - Data Science Fall 2016 - Skiena, SBU](https://www.youtube.com/playlist?list=PLOtl7M3yp-DVBdLYatrltDJr56AKZ1qXo)
|
||||
- [CS 109 Data Science, Harvard University](http://cs109.github.io/2015/pages/videos.html) ([YouTube](https://www.youtube.com/playlist?list=PLb4G5axmLqiuneCqlJD2bYFkBwHuOzKus))
|
||||
- [6.0002 Introduction to Computational Thinking and Data Science - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/)
|
||||
- [Data 100 - Summer 19- UC Berkeley](https://www.youtube.com/playlist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR)
|
||||
- [Distributed Data Analytics (WT 2017/18) - HPI University of Potsdam](https://www.tele-task.de/series/1179/)
|
||||
- [Statistics 133 - Concepts in Computing with Data, Fall 2013 - UC Berkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iDsSPnMJlnhIyADGUmikoIO)
|
||||
- [Data Profiling and Data Cleansing (WS 2014/15) - HPI University of Potsdam](https://www.tele-task.de/series/1027/)
|
||||
- [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
|
||||
- [CS 229r - Algorithms for Big Data, Harvard University](http://people.seas.harvard.edu/~minilek/cs229r/fall15/lec.html) ([Youtube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0v1kQTpqpuu5kEJo2i-iUyf))
|
||||
- [Algorithms for Big Data - IIT Madras](https://nptel.ac.in/courses/106106142/)
|
||||
- **Probabilistic Graphical Modeling**
|
||||
- [MOOC - Probabilistic Graphical Models - Coursera](https://www.youtube.com/playlist?list=PLvfF4UFg6Ejj6SX-ffw-O4--SPbB9P7eP)
|
||||
- [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut)
|
||||
- [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](https://www.cs.cmu.edu/~epxing/Class/10708-20/lectures.html)
|
||||
- [Probabilistic Graphical Models, Daphne Koller, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels)
|
||||
- [Probabilistic Models - UNIVERSITY OF HELSINKI](https://www.cs.helsinki.fi/en/courses/582636/2015/K/K/1)
|
||||
- [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm)
|
||||
- [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
|
||||
- [MOOC - Probabilistic Graphical Models - Coursera](https://www.youtube.com/playlist?list=PLvfF4UFg6Ejj6SX-ffw-O4--SPbB9P7eP)
|
||||
- [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut)
|
||||
- [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](https://www.cs.cmu.edu/~epxing/Class/10708-20/lectures.html)
|
||||
- [Probabilistic Graphical Models, Daphne Koller, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels)
|
||||
- [Probabilistic Models - UNIVERSITY OF HELSINKI](https://www.cs.helsinki.fi/en/courses/582636/2015/K/K/1)
|
||||
- [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm)
|
||||
- [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
|
||||
- **Deep Learning**
|
||||
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
|
||||
- [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
|
||||
- [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/)
|
||||
- [Part 2: Deep Learning from the Foundations - fast.ai](https://course19.fast.ai/part2)
|
||||
- [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
|
||||
- [6.S094: Deep Learning for Self-Driving Cars - MIT](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
|
||||
- [CS294-129 Designing, Visualizing and Understanding Deep Neural Networks](https://bcourses.berkeley.edu/courses/1453965/pages/cs294-129-designing-visualizing-and-understanding-deep-neural-networks) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIxopmdJF_CLNqG3QuDFHQUm))
|
||||
- [CS230: Deep Learning - Autumn 2018 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
|
||||
- [STAT-157 Deep Learning 2019 - UC Berkeley](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)
|
||||
- [Full Stack DL Bootcamp 2019 - UC Berkeley](https://www.youtube.com/playlist?list=PL_Ig1a5kxu5645uORPL8xyvHr91Lg8G1l)
|
||||
- [Deep Learning, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning)
|
||||
- [MOOC - Neural Networks for Machine Learning, Geoffrey Hinton 2016 - Coursera](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)
|
||||
- [Deep Unsupervised Learning -- Berkeley Spring 2020](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)
|
||||
- [Stat 946 Deep Learning - University of Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
|
||||
- [Neural networks class - Université de Sherbrooke](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) ([YouTube](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))
|
||||
- [CS294-158 Deep Unsupervised Learning SP19](https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos)
|
||||
- [DLCV - Deep Learning for Computer Vision - UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBavDoZpFcX-bff5WgQqSLzR)
|
||||
- [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
|
||||
- [Neural Networks and Applications - IIT Kharagpur](https://nptel.ac.in/courses/117105084/)
|
||||
- [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
|
||||
- [Nvidia Machine Learning Class](https://www.youtube.com/playlist?list=PLTIkHmXc-7an8xbwhAJX-LQ4D4Uf-ar5I)
|
||||
- [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
|
||||
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
|
||||
- [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
|
||||
- [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/)
|
||||
- [Part 2: Deep Learning from the Foundations - fast.ai](https://course19.fast.ai/part2)
|
||||
- [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
|
||||
- [6.S094: Deep Learning for Self-Driving Cars - MIT](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
|
||||
- [CS294-129 Designing, Visualizing and Understanding Deep Neural Networks](https://bcourses.berkeley.edu/courses/1453965/pages/cs294-129-designing-visualizing-and-understanding-deep-neural-networks) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIxopmdJF_CLNqG3QuDFHQUm))
|
||||
- [CS230: Deep Learning - Autumn 2018 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
|
||||
- [STAT-157 Deep Learning 2019 - UC Berkeley ](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)
|
||||
- [Full Stack DL Bootcamp 2019 - UC Berkeley](https://www.youtube.com/playlist?list=PL_Ig1a5kxu5645uORPL8xyvHr91Lg8G1l)
|
||||
- [Deep Learning, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning)
|
||||
- [MOOC - Neural Networks for Machine Learning, Geoffrey Hinton 2016 - Coursera](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)
|
||||
- [Deep Unsupervised Learning -- Berkeley Spring 2020](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)
|
||||
- [Stat 946 Deep Learning - University of Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
|
||||
- [Neural networks class - Université de Sherbrooke](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) ([YouTube](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))
|
||||
- [CS294-158 Deep Unsupervised Learning SP19](https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos)
|
||||
- [DLCV - Deep Learning for Computer Vision - UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBavDoZpFcX-bff5WgQqSLzR)
|
||||
- [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
|
||||
- [Neural Networks and Applications - IIT Kharagpur](https://nptel.ac.in/courses/117105084/)
|
||||
- [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
|
||||
- [Nvidia Machine Learning Class](https://www.youtube.com/playlist?list=PLTIkHmXc-7an8xbwhAJX-LQ4D4Uf-ar5I)
|
||||
- [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
|
||||
- **Reinforcement Learning**
|
||||
- [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
|
||||
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
|
||||
- [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
|
||||
- [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)
|
||||
- [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
|
||||
- [CS 285 - Deep Reinforcement Learning- UC Berkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)
|
||||
- [CS 294 112 - Reinforcement Learning](https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37)
|
||||
- [NUS CS 6101 - Deep Reinforcement Learning](https://www.youtube.com/playlist?list=PLllwxvcS7ca5wOmRLKm6ri-OaC0INYehv)
|
||||
- [ECE 8851: Reinforcement Learning](https://www.youtube.com/playlist?list=PL_Nk3YvgORJs1tCLQnlnSRsOJArj_cP9u)
|
||||
- [CS294-112, Deep Reinforcement Learning Sp17](http://rll.berkeley.edu/deeprlcourse/) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX))
|
||||
- [UCL Course 2015 on Reinforcement Learning by David Silver from DeepMind](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html) ([YouTube](https://www.youtube.com/watch?v=2pWv7GOvuf0))
|
||||
- [Deep RL Bootcamp - Berkeley Aug 2017](https://sites.google.com/view/deep-rl-bootcamp/lectures)
|
||||
- [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)
|
||||
- [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
|
||||
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
|
||||
- [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
|
||||
- [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)
|
||||
- [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
|
||||
- [CS 285 - Deep Reinforcement Learning- UC Berkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)
|
||||
- [CS 294 112 - Reinforcement Learning](https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37)
|
||||
- [NUS CS 6101 - Deep Reinforcement Learning](https://www.youtube.com/playlist?list=PLllwxvcS7ca5wOmRLKm6ri-OaC0INYehv)
|
||||
- [ECE 8851: Reinforcement Learning](https://www.youtube.com/playlist?list=PL_Nk3YvgORJs1tCLQnlnSRsOJArj_cP9u)
|
||||
- [CS294-112, Deep Reinforcement Learning Sp17](http://rll.berkeley.edu/deeprlcourse/) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX))
|
||||
- [UCL Course 2015 on Reinforcement Learning by David Silver from DeepMind](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html) ([YouTube](https://www.youtube.com/watch?v=2pWv7GOvuf0))
|
||||
- [Deep RL Bootcamp - Berkeley Aug 2017](https://sites.google.com/view/deep-rl-bootcamp/lectures)
|
||||
- [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)
|
||||
- **Advanced Machine Learning**
|
||||
- [Machine Learning 2013 - Nando de Freitas, UBC](https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6)
|
||||
- [Machine Learning, 2014-2015, University of Oxford](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/)
|
||||
- [10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](https://www.stat.cmu.edu/~ryantibs/statml/) ([Spring 2015](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r))
|
||||
- [10-715 Advanced Introduction to Machine Learning - CMU](http://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/) ([YouTube](https://www.youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ))
|
||||
- [CS 281B - Scalable Machine Learning, Alex Smola, UC Berkeley](http://alex.smola.org/teaching/berkeley2012/syllabus.html)
|
||||
- [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
|
||||
- [CS 330 - Deep Multi-Task and Meta Learning - Fall 2019 - Stanford University](https://cs330.stanford.edu/) ([Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5))
|
||||
- [Machine Learning 2013 - Nando de Freitas, UBC](https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6)
|
||||
- [Machine Learning, 2014-2015, University of Oxford](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/)
|
||||
- [10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](https://www.stat.cmu.edu/~ryantibs/statml/) ([Spring 2015](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r))
|
||||
- [10-715 Advanced Introduction to Machine Learning - CMU](http://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/) ([YouTube](https://www.youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ))
|
||||
- [CS 281B - Scalable Machine Learning, Alex Smola, UC Berkeley](http://alex.smola.org/teaching/berkeley2012/syllabus.html)
|
||||
- [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
|
||||
- [CS 330 - Deep Multi-Task and Meta Learning - Fall 2019 - Stanford University](https://cs330.stanford.edu/) ([Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5))
|
||||
- **ML based Natural Language Processing and Computer Vision**
|
||||
- [CS 224d - Deep Learning for Natural Language Processing, Stanford University](http://cs224d.stanford.edu/syllabus.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLCJlDcMjVoEdtem5GaohTC1o9HTTFtK7_))
|
||||
- [CS 224N - Natural Language Processing, Stanford University](http://web.stanford.edu/class/cs224n/) ([Lecture videos](https://www.youtube.com/playlist?list=PLgtM85Maly3n2Fp1gJVvqb0bTC39CPn1N))
|
||||
- [CS 124 - From Languages to Information - Stanford University](https://www.youtube.com/channel/UC_48v322owNVtORXuMeRmpA/playlists?view=50&sort=dd&shelf_id=2)
|
||||
- [MOOC - Natural Language Processing, Dan Jurafsky & Chris Manning - Coursera](https://www.youtube.com/playlist?list=PL6397E4B26D00A269)
|
||||
- [fast.ai Code-First Intro to Natural Language Processing](https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9) ([Github](https://github.com/fastai/course-nlp))
|
||||
- [MOOC - Natural Language Processing - Coursera, University of Michigan](https://www.youtube.com/playlist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR)
|
||||
- [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
|
||||
- [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
|
||||
- [Deep Learning for Natural Language Processing, 2017 - Oxford University](https://github.com/oxford-cs-deepnlp-2017/lectures)
|
||||
- [Machine Learning for Robotics and Computer Vision, WS 2013/2014 - TU München](https://vision.in.tum.de/teaching/ws2013/ml_ws13) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl))
|
||||
- [Informatics 1 - Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/inf1cs.htm)
|
||||
- [Informatics 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf2a/schedule.html)
|
||||
- [Computational Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ccs.htm)
|
||||
- [Accelerated Natural Language Processing 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/anlp.htm)
|
||||
- [Natural Language Processing - IIT Bombay](https://nptel.ac.in/courses/106101007/)
|
||||
- [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https://nptel.ac.in/courses/108/105/108105103/)
|
||||
- [CS 11-747 - Neural Nets for NLP - 2019 - CMU](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ajj7sY6sdtmjgkt7eo2VMs)
|
||||
- [Natural Language Processing - Michael Collins - Columbia University](https://www.youtube.com/playlist?list=PLA212ij5XG8OTDRl8IWFiJgHR9Ve2k9pv)
|
||||
- [Deep Learning for Computer Vision - University of Michigan](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
|
||||
- [CMU CS11-737 - Multilingual Natural Language Processing](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)
|
||||
- [CS 224d - Deep Learning for Natural Language Processing, Stanford University](http://cs224d.stanford.edu/syllabus.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLCJlDcMjVoEdtem5GaohTC1o9HTTFtK7_))
|
||||
- [CS 224N - Natural Language Processing, Stanford University](http://web.stanford.edu/class/cs224n/) ([Lecture videos](https://www.youtube.com/playlist?list=PLgtM85Maly3n2Fp1gJVvqb0bTC39CPn1N))
|
||||
- [CS 124 - From Languages to Information - Stanford University](https://www.youtube.com/channel/UC_48v322owNVtORXuMeRmpA/playlists?view=50&sort=dd&shelf_id=2)
|
||||
- [MOOC - Natural Language Processing, Dan Jurafsky & Chris Manning - Coursera](https://www.youtube.com/playlist?list=PL6397E4B26D00A269)
|
||||
- [fast.ai Code-First Intro to Natural Language Processing](https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9) ([Github](https://github.com/fastai/course-nlp))
|
||||
- [MOOC - Natural Language Processing - Coursera, University of Michigan](https://www.youtube.com/playlist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR)
|
||||
- [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
|
||||
- [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
|
||||
- [Deep Learning for Natural Language Processing, 2017 - Oxford University](https://github.com/oxford-cs-deepnlp-2017/lectures)
|
||||
- [Machine Learning for Robotics and Computer Vision, WS 2013/2014 - TU München](https://vision.in.tum.de/teaching/ws2013/ml_ws13) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl))
|
||||
- [Informatics 1 - Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/inf1cs.htm)
|
||||
- [Informatics 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf2a/schedule.html)
|
||||
- [Computational Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ccs.htm)
|
||||
- [Accelerated Natural Language Processing 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/anlp.htm)
|
||||
- [Natural Language Processing - IIT Bombay](https://nptel.ac.in/courses/106101007/)
|
||||
- [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https://nptel.ac.in/courses/108/105/108105103/)
|
||||
- [CS 11-747 - Neural Nets for NLP - 2019 - CMU](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ajj7sY6sdtmjgkt7eo2VMs)
|
||||
- [Natural Language Processing - Michael Collins - Columbia University](https://www.youtube.com/playlist?list=PLA212ij5XG8OTDRl8IWFiJgHR9Ve2k9pv)
|
||||
- [Deep Learning for Computer Vision - University of Michigan](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
|
||||
- [CMU CS11-737 - Multilingual Natural Language Processing](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)
|
||||
- **Time Series Analysis**
|
||||
- [02417 Time Series Analysis](https://www.youtube.com/playlist?list=PLtiTxpFJ4k6TZ0g496fVcQpt_-XJRNkbi)
|
||||
- [Applied Time Series Analysis](https://www.youtube.com/playlist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX)
|
||||
- [02417 Time Series Analysis](https://www.youtube.com/playlist?list=PLtiTxpFJ4k6TZ0g496fVcQpt_-XJRNkbi)
|
||||
- [Applied Time Series Analysis](https://www.youtube.com/playlist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX)
|
||||
- **Misc Machine Learning Topics**
|
||||
- [EE364a: Convex Optimization I - Stanford University](http://web.stanford.edu/class/ee364a/videos.html)
|
||||
- [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)
|
||||
- [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://blogs.ischool.berkeley.edu/i290-abdt-s12/) ([YouTube](https://www.youtube.com/playlist?list=PLE8C1256A28C1487F))
|
||||
- [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
|
||||
- [10-725 Convex Optimization: Fall 2016 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt/)
|
||||
- [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page)
|
||||
- [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
|
||||
- [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)
|
||||
- [Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo)
|
||||
- [Regularization Methods for Machine Learning 2016](http://academictorrents.com/details/493251615310f9b6ae1f483126292378137074cd) ([YouTube](https://www.youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO))
|
||||
- [Statistical Inference in Big Data - University of Toronto](http://fields2015bigdata2inference.weebly.com/materials.html)
|
||||
- [10-725 Optimization Fall 2012 - CMU](http://www.cs.cmu.edu/~ggordon/10725-F12/schedule.html)
|
||||
- [10-801 Advanced Optimization and Randomized Methods - CMU](http://www.cs.cmu.edu/~suvrit/teach/aopt.html) ([YouTube](https://www.youtube.com/playlist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d))
|
||||
- [Reinforcement Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/rl.htm)
|
||||
- [Reinforcement Learning - IIT Madras](https://nptel.ac.in/courses/106106143/)
|
||||
- [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)
|
||||
- [Music Information Retrieval - University of Victoria, 2014](http://marsyas.cs.uvic.ca/mirBook/course/)
|
||||
- [PURDUE Machine Learning Summer School 2011](https://www.youtube.com/playlist?list=PL2A65507F7D725EFB)
|
||||
- [Foundations of Machine Learning - Blmmoberg Edu](https://bloomberg.github.io/foml/#home)
|
||||
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
|
||||
- [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
|
||||
- [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)
|
||||
- [Big Data Systems (WT 2019/20) - Prof. Dr. Tilmann Rabl - HPI](https://www.tele-task.de/series/1286/)
|
||||
- [Distributed Data Analytics (WT 2017/18) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1179/)
|
||||
- [EE364a: Convex Optimization I - Stanford University](http://web.stanford.edu/class/ee364a/videos.html)
|
||||
- [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)
|
||||
- [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://blogs.ischool.berkeley.edu/i290-abdt-s12/) ([YouTube](https://www.youtube.com/playlist?list=PLE8C1256A28C1487F))
|
||||
- [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
|
||||
- [10-725 Convex Optimization: Fall 2016 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt/)
|
||||
- [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page)
|
||||
- [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
|
||||
- [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)
|
||||
- [Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo)
|
||||
- [Regularization Methods for Machine Learning 2016](http://academictorrents.com/details/493251615310f9b6ae1f483126292378137074cd) ([YouTube](https://www.youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO))
|
||||
- [Statistical Inference in Big Data - University of Toronto](http://fields2015bigdata2inference.weebly.com/materials.html)
|
||||
- [10-725 Optimization Fall 2012 - CMU](http://www.cs.cmu.edu/~ggordon/10725-F12/schedule.html)
|
||||
- [10-801 Advanced Optimization and Randomized Methods - CMU](http://www.cs.cmu.edu/~suvrit/teach/aopt.html) ([YouTube](https://www.youtube.com/playlist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d))
|
||||
- [Reinforcement Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/rl.htm)
|
||||
- [Reinforcement Learning - IIT Madras](https://nptel.ac.in/courses/106106143/)
|
||||
- [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)
|
||||
- [Music Information Retrieval - University of Victoria, 2014](http://marsyas.cs.uvic.ca/mirBook/course/)
|
||||
- [PURDUE Machine Learning Summer School 2011](https://www.youtube.com/playlist?list=PL2A65507F7D725EFB)
|
||||
- [Foundations of Machine Learning - Blmmoberg Edu](https://bloomberg.github.io/foml/#home)
|
||||
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
|
||||
- [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
|
||||
- [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)
|
||||
- [Big Data Systems (WT 2019/20) - Prof. Dr. Tilmann Rabl - HPI](https://www.tele-task.de/series/1286/)
|
||||
- [Distributed Data Analytics (WT 2017/18) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1179/)
|
||||
|
||||
|
||||
------------------------------
|
||||
|
||||
### Computer Networks
|
||||
|
||||
### Computer Networks
|
||||
- [14-740 - Fundamentals of Computer Networks - CMU](http://www.ini740.com/)
|
||||
- [CS 144 Introduction to Computer Networking - Stanford University, Fall 2013](http://www.scs.stanford.edu/10au-cs144/) ([Lecture videos](https://www.youtube.com/playlist?list=PLvFG2xYBrYAQCyz4Wx3NPoYJOFjvU7g2Z))
|
||||
- [Computer Communication Networks, Rensselaer Polytechnic Institute - Fall 2001](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html) ([Videos](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html#ccn_video)) ([Slides](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html#ccn_foils))
|
||||
|
|
@ -487,10 +488,12 @@ Table of Contents
|
|||
- [Internetworking with TCP/IP by Prof. Dr. Christoph Meinel - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAfY5VrkObHTckZHwPsS1VCA)
|
||||
- [CS798: Mathematical Foundations of Computer Networking - University of Waterloo](https://www.youtube.com/playlist?list=PLFB088DB91845CA34)
|
||||
|
||||
------------------------------
|
||||
|
||||
|
||||
-------------------------
|
||||
|
||||
### Math for Computer Scientist
|
||||
|
||||
- [List of Science & Math courses with video lectures](https://github.com/Developer-Y/math-science-video-lectures)
|
||||
- [Maths courses all topics covered](https://www.khanacademy.org/math/)
|
||||
- **Calculus**
|
||||
- [18.01 Single Variable Calculus, Fall 2006 - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-01-single-variable-calculus-fall-2006/)
|
||||
|
|
@ -540,10 +543,10 @@ Table of Contents
|
|||
- [Statistical Computing, Fall 2017 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcSgNGnT5TUHt85SrCljT3V)
|
||||
- [Mathematics for Machine Learning, Lectures by Ulrike von Luxburg - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
|
||||
|
||||
------------------------------
|
||||
|
||||
-------------------------
|
||||
|
||||
### Web Programming and Internet Technologies
|
||||
|
||||
- [Web Design Decal - HTML/CSS/JavaScript Course, University of California, Berkeley](http://live.wdd.io/)
|
||||
- [CS 75 Building Dynamic Websites - Harvard University](http://cs75.tv/2012/summer/)
|
||||
- [Internet Technology - IIT Kharagpur](https://nptel.ac.in/courses/106105084/)
|
||||
|
|
@ -558,7 +561,8 @@ Table of Contents
|
|||
- [MOOC - Web Development - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlLXUhUNt1wINWrrH9axjcI)
|
||||
- [Web Technologies Prof. Dr. Christoph Meinel - HPI](https://open.hpi.de/courses/webtech2015/items/4oqxq6euKfhXgHOMwFBxbn)
|
||||
|
||||
------------------------------
|
||||
---------------------------
|
||||
|
||||
|
||||
### Theoretical CS and Programming Languages
|
||||
|
||||
|
|
@ -604,55 +608,57 @@ Table of Contents
|
|||
- [Principles of Compiler Design - Swarthmore College](https://www.cs.swarthmore.edu/~jpolitz/cs75/s16/index.html)
|
||||
- [Undergrad Complexity Theory at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5vLXpzOyJiLtqLp6dCW2)
|
||||
- [Graduate Complexity Theory at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3b8Gg1DdaJOzYNsaXYLAOKH)
|
||||
- [Great Ideas in Theoretical Computer Science at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3aafQm568blS9blxtA_EWQv)
|
||||
- [Great Ideas in Theoretical Computer Science at CMU ](https://www.youtube.com/playlist?list=PLm3J0oaFux3aafQm568blS9blxtA_EWQv)
|
||||
- [Analysis of Boolean Functions at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3YypJNaF6sRAf2zC1QzMuTA)
|
||||
- [Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015](http://ais.informatik.uni-freiburg.de/teaching/ss15/bridging/)
|
||||
- [Languages & Translators - UCLouvain LINFO2132](https://norswap.com/compilers/)
|
||||
|
||||
------------------------------
|
||||
-------------------------------
|
||||
|
||||
### Embedded Systems
|
||||
- [EE319K Embedded Systems - UT Austin](http://users.ece.utexas.edu/~valvano/Volume1/E-Book/VideoLinks.htm)
|
||||
- [EE445L Embedded Systems Design Lab, Fall 2015, UTexas](https://www.youtube.com/playlist?list=PLyg2vmIzGxXGBxFu8nvX3KBadSdsNAvbA)
|
||||
- [CS149 Embedded Systems - Fall 2014 - UCBerkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iDq3FCoYLeUL-X-NUlT405n)
|
||||
- [ECE 4760 Designing with Microcontrollers Fall 2016, Cornell University](http://people.ece.cornell.edu/land/courses/ece4760/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLKcjQ_UFkrd4I5WOIxHEYZ7iY04lj15Ez))
|
||||
- [ECE 5760 - Advanced Microcontroller Design and system-on-chip, Spring 2016 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5760/)
|
||||
- [CSE 438/598 Embedded Systems Programming ASU](http://rts.lab.asu.edu/web_438_Fall_2014/CSE438_Fall2014_Main_page.htm)
|
||||
- [Summer Short Course on Embedded Systems Programming](http://rts.lab.asu.edu/web_ESP_Summer2014/ESP_Main_page.htm)
|
||||
- [Internet of Things by Prof. Dr.-Ing. Dietmar P. F. Möller](https://video.tu-clausthal.de/vorlesung/408.html)
|
||||
- [CSE 351 - The Hardware/Software Interface, Spring 16 - University of Washington](https://courses.cs.washington.edu/courses/cse351/16sp/videos.html) ([Coursera](http://academictorrents.com/details/f1384286c8581bffba11e378fdb37608e649d82a))
|
||||
- [ECE 5030 - Electronic Bioinstrumentation, Spring 2014 - Cornell University ](http://people.ece.cornell.edu/land/courses/ece5030/)
|
||||
- [ECE/CS 5780/6780 - Embedded Systems Design, Spring 14 - University of Utah](https://www.youtube.com/playlist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)
|
||||
- [Embedded Systems Class - Version 1 - 2011 - UNCC](https://www.youtube.com/playlist?list=PLE4462C1C306E2EB2)
|
||||
- [Embedded Systems using the Renesas RX63N Processor - Version 3 - UNCC](https://www.youtube.com/playlist?list=PLPIqCiMhcdO5gxLJWt_hY5CPMzqg75IU5)
|
||||
- [ELEC2142 - Embedded Systems Design - UNSW](http://eemedia.ee.unsw.edu.au/ELEC2142/index.htm)
|
||||
- [Software Engineering for Embedded Systems (WS 2011/12) - HPI Univesrity of Potsdam](https://www.tele-task.de/series/864/)
|
||||
- [Embedded Software Testing - IIT Madras](https://nptel.ac.in/courses/117106112/)
|
||||
- [Embedded Systems - IIT Delhi](https://nptel.ac.in/courses/108102045/)
|
||||
- [Embedded Systems Design - IIT Kharagpur](https://nptel.ac.in/courses/106105159/)
|
||||
- [ARM Based Development - IIT Madras](https://nptel.ac.in/courses/117106111/)
|
||||
- [Software Engineering for Self Adaptive Systems - iTunes - HPI Univesrity of Potsdam](https://itunes.apple.com/us/itunes-u/software-engineering-for-self/id993578475)
|
||||
- [EE260 Embedded Systems by Robert Paz](https://www.youtube.com/playlist?list=PLnvE9iJk1wvib_pdUPdQGYZrkrmg9mf__)
|
||||
- [IoT Summer School](https://www.youtube.com/playlist?list=PLHih6DnKQaoYQ5PIT3Tp-UrqUguDYWYQu)
|
||||
- [ECSE 421 - Embedded Systems - McGill](http://www.cim.mcgill.ca/~jer/courses/es/)
|
||||
- [EE402 - Object-oriented Programming with Embedded Systems](http://ee402.eeng.dcu.ie/lecture-videos)
|
||||
- [NOC:Advanced IOT Applications - IISc Bangalore](https://nptel.ac.in/courses/108/108/108108123/)
|
||||
- [NOC:Design for internet of things - IISc Bangalore](https://nptel.ac.in/courses/108/108/108108098/)
|
||||
|
||||
- [EE319K Embedded Systems - UT Austin](http://users.ece.utexas.edu/~valvano/Volume1/E-Book/VideoLinks.htm)
|
||||
- [EE445L Embedded Systems Design Lab, Fall 2015, UTexas](https://www.youtube.com/playlist?list=PLyg2vmIzGxXGBxFu8nvX3KBadSdsNAvbA)
|
||||
- [CS149 Embedded Systems - Fall 2014 - UCBerkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iDq3FCoYLeUL-X-NUlT405n)
|
||||
- [ECE 4760 Designing with Microcontrollers Fall 2016, Cornell University](http://people.ece.cornell.edu/land/courses/ece4760/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLKcjQ_UFkrd4I5WOIxHEYZ7iY04lj15Ez))
|
||||
- [ECE 5760 - Advanced Microcontroller Design and system-on-chip, Spring 2016 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5760/)
|
||||
- [CSE 438/598 Embedded Systems Programming ASU](http://rts.lab.asu.edu/web_438_Fall_2014/CSE438_Fall2014_Main_page.htm)
|
||||
- [Summer Short Course on Embedded Systems Programming](http://rts.lab.asu.edu/web_ESP_Summer2014/ESP_Main_page.htm)
|
||||
- [Internet of Things by Prof. Dr.-Ing. Dietmar P. F. Möller](https://video.tu-clausthal.de/vorlesung/408.html)
|
||||
- [CSE 351 - The Hardware/Software Interface, Spring 16 - University of Washington](https://courses.cs.washington.edu/courses/cse351/16sp/videos.html) ([Coursera](http://academictorrents.com/details/f1384286c8581bffba11e378fdb37608e649d82a))
|
||||
- [ECE 5030 - Electronic Bioinstrumentation, Spring 2014 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5030/)
|
||||
- [ECE/CS 5780/6780 - Embedded Systems Design, Spring 14 - University of Utah](https://www.youtube.com/playlist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)
|
||||
- [Embedded Systems Class - Version 1 - 2011 - UNCC](https://www.youtube.com/playlist?list=PLE4462C1C306E2EB2)
|
||||
- [Embedded Systems using the Renesas RX63N Processor - Version 3 - UNCC](https://www.youtube.com/playlist?list=PLPIqCiMhcdO5gxLJWt_hY5CPMzqg75IU5)
|
||||
- [ELEC2142 - Embedded Systems Design - UNSW](http://eemedia.ee.unsw.edu.au/ELEC2142/index.htm)
|
||||
- [Software Engineering for Embedded Systems (WS 2011/12) - HPI University of Potsdam](https://www.tele-task.de/series/864/)
|
||||
- [Embedded Software Testing - IIT Madras](https://nptel.ac.in/courses/117106112/)
|
||||
- [Embedded Systems - IIT Delhi](https://nptel.ac.in/courses/108102045/)
|
||||
- [Embedded Systems Design - IIT Kharagpur](https://nptel.ac.in/courses/106105159/)
|
||||
- [ARM Based Development - IIT Madras](https://nptel.ac.in/courses/117106111/)
|
||||
- [Software Engineering for Self Adaptive Systems - iTunes - HPI University of Potsdam](https://itunes.apple.com/us/itunes-u/software-engineering-for-self/id993578475)
|
||||
- [EE260 Embedded Systems by Robert Paz](https://www.youtube.com/playlist?list=PLnvE9iJk1wvib_pdUPdQGYZrkrmg9mf__)
|
||||
- [IoT Summer School](https://www.youtube.com/playlist?list=PLHih6DnKQaoYQ5PIT3Tp-UrqUguDYWYQu)
|
||||
- [ECSE 421 - Embedded Systems - McGill](http://www.cim.mcgill.ca/~jer/courses/es/)
|
||||
- [EE402 - Object-oriented Programming with Embedded Systems](http://ee402.eeng.dcu.ie/lecture-videos)
|
||||
- [NOC:Advanced IOT Applications - IISc Bangalore](https://nptel.ac.in/courses/108/108/108108123/)
|
||||
- [NOC:Design for internet of things - IISc Bangalore](https://nptel.ac.in/courses/108/108/108108098/)
|
||||
|
||||
------------------------------
|
||||
|
||||
### Real time system evaluation
|
||||
|
||||
|
||||
### Real time system evaluation
|
||||
- [Performance evaluation of Computer systems - IIT Madras](https://nptel.ac.in/courses/106/106/106106048/)
|
||||
- [Real Time systems - IIT Karaghpur](https://nptel.ac.in/courses/106/105/106105036/)
|
||||
- [EE 380 Colloquim on Computer Systems - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu)
|
||||
- [System storages - IISc Bangalore](https://nptel.ac.in/courses/106/108/106108058/)
|
||||
|
||||
------------------------------
|
||||
-------------------------------
|
||||
|
||||
|
||||
|
||||
### Computer Organization and Architecture
|
||||
|
||||
- **Computer Organization**
|
||||
- [How Computers Work - Aduni](http://aduni.org/courses/hcw/index.php?view=cw)
|
||||
- [CS 61C - Machine Structures, UC Berkeley](http://www-inst.eecs.berkeley.edu/~cs61c/sp15/) ([Lectures - InfoCoBuild](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs61c-spring2015-berkeley.html))
|
||||
|
|
@ -686,7 +692,7 @@ Table of Contents
|
|||
- [Digital Systems Design - IIT Kharagpur](https://nptel.ac.in/courses/117105080/)
|
||||
- [Digital Design Course - 2015 - UNCC](https://www.youtube.com/playlist?list=PLPIqCiMhcdO7bBmieyG5u41x2Ogcn67Bs)
|
||||
- [CS1 - Higher Computing - Richard Buckland UNSW](https://www.youtube.com/playlist?list=PL6B940F08B9773B9F)
|
||||
- [MOOC - From NAND to Tetris - Building a Modern Computer From First Principles](https://www.nand2tetris.org/) ([YouTube](https://www.youtube.com/playlist?list=PLNMIACtpT9BfztU0P92qlw8Gd4vxvvfT1))
|
||||
- [MOOC - From NAND to TetrisBuilding a Modern Computer From First Principles](https://www.nand2tetris.org/) ([YouTube](https://www.youtube.com/playlist?list=PLNMIACtpT9BfztU0P92qlw8Gd4vxvvfT1))
|
||||
- [System Validation, TU Delft](https://ocw.tudelft.nl/courses/system-validation/)
|
||||
- [High Performance Computing - IISC Bangalore](https://nptel.ac.in/courses/106108055/)
|
||||
- [Introduction to ARM - Open SecurityTraining](https://www.youtube.com/playlist?list=PLUFkSN0XLZ-n91t_AX5zO007Giz1INwPd)
|
||||
|
|
@ -696,14 +702,14 @@ Table of Contents
|
|||
- [Onur Mutlu @ TU Wien 2019 - Memory Systems](https://www.youtube.com/playlist?list=PL5Q2soXY2Zi_gntM55VoMlKlw7YrXOhbl)
|
||||
- [Memory Systems Course - Technion, Summer 2018](https://www.youtube.com/playlist?list=PL5Q2soXY2Zi-IymxXpH_9vlZCOeA7Yfn9)
|
||||
|
||||
------------------------------
|
||||
|
||||
-------
|
||||
|
||||
### Security
|
||||
|
||||
- [Internet Security (WT 2018/19) - HPI University of Potsdam](https://www.tele-task.de/series/1227/)
|
||||
- [6.858 Computer Systems Security - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-858-computer-systems-security-fall-2014/video-lectures/)
|
||||
- [CS 161: Computer Security, UC Berkeley](https://cs161.org/)
|
||||
- [6.875 - Cryptography - Spring 2018- MIT](https://www.youtube.com/playlist?list=PL6ogFv-ieghe8MOIcpD6UDtdK-UMHG8oH)
|
||||
- [6.875 - Cryptography - Spring 2018- MIT ](https://www.youtube.com/playlist?list=PL6ogFv-ieghe8MOIcpD6UDtdK-UMHG8oH)
|
||||
- [CSEP590A - Practical Aspects of Modern Cryptography, Winter 2011 - University of Washington](https://courses.cs.washington.edu/courses/csep590a/11wi/) ([Videos](https://courses.cs.washington.edu/courses/csep590a/11wi/video/))
|
||||
- [CS461/ECE422 - Computer Security - University of Illinois at Urbana-Champaign](https://courses.engr.illinois.edu/cs461/sp2016/) ([Videos](https://recordings.engineering.illinois.edu:8443/ess/portal/section/8a560718-345a-417a-b665-6bd375a71ee2))
|
||||
- [Introduction to Cryptography, Christof Paar - Ruhr University Bochum, Germany](https://www.youtube.com/playlist?list=PLwJWuZfL_Ga2KJrTf9hOIgAQWkSpn9RNm)
|
||||
|
|
@ -727,17 +733,17 @@ Table of Contents
|
|||
- [CSN11123 - Advanced Cloud and Network Forensics - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn11123)
|
||||
- [CSN11117 - e-Security - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn11117)
|
||||
- [CSN08704 - Telecommunications - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn08704)
|
||||
- [CSN11128 - Incident Response and Malware Analysis - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/CSN11128)
|
||||
- [CSN11128 - Incident Response and Malware Analysus - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/CSN11128)
|
||||
- [Internet Security for Beginners by Dr. Christoph Meinel - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAdsi-IacgZJQF1MRw0Ee-HH)
|
||||
|
||||
------------------------------
|
||||
-------
|
||||
|
||||
### Computer Graphics
|
||||
|
||||
- [CS184 - Computer Graphics, Fall 2012 - UC Berkeley](http://inst.eecs.berkeley.edu/~cs184/fa12/onlinelectures.html)
|
||||
- [ECS 175 - Computer Graphics, Fall 2009 - UC Davis](https://itunes.apple.com/us/itunes-u/computer-graphics-fall-2009/id457893733?mt=10)
|
||||
- [6.837 - Computer Graphics - Spring 2017 - MIT](https://www.youtube.com/playlist?list=PLkHIj5SCfn3_PCotoqTetMpJc_jkpkgLt)
|
||||
- [6.838 - Shape Analysis - Spring 2017- MIT](https://www.youtube.com/playlist?list=PLkHIj5SCfn3-FeWqD3xeOZWP2kQYY654o)
|
||||
- [6.837 - Computer Graphics - Spring 2017 - MIT ](https://www.youtube.com/playlist?list=PLkHIj5SCfn3_PCotoqTetMpJc_jkpkgLt)
|
||||
- [6.838 - Shape Analysis - Spring 2017- MIT ](https://www.youtube.com/playlist?list=PLkHIj5SCfn3-FeWqD3xeOZWP2kQYY654o)
|
||||
- [Introduction to Computer Graphics - IIT Delhi](https://nptel.ac.in/courses/106102065/)
|
||||
- [Computer Graphics - IIT Madras](https://nptel.ac.in/courses/106106090/)
|
||||
- [Computer Graphics 2012, Wolfgang Huerst, Utrecht University](https://www.youtube.com/playlist?list=PLDFA8FCF0017504DE)
|
||||
|
|
@ -753,18 +759,18 @@ Table of Contents
|
|||
- [CS 468 - Differential Geometry for Computer Science - Stanford University](http://graphics.stanford.edu/courses/cs468-13-spring/schedule.html) ([Lecture videos](https://www.youtube.com/playlist?list=PL_deCdukpyu1rdH85XsEEREbpoqEauiJl))
|
||||
- [CMU 15-462/662: Computer Graphics](http://15462.courses.cs.cmu.edu/fall2020/)
|
||||
|
||||
------------------------------
|
||||
-------
|
||||
|
||||
### Image Processing and Computer Vision
|
||||
|
||||
- [MOOC - Digital Image processing - Duke/Coursera](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
|
||||
- [MOOC - Digital Image procesing - Duke/Coursera](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
|
||||
- [Computer Vision 2011 - EPFL, Switzerland](http://www.klewel.com/conferences/epfl-computer-vision/)
|
||||
- [Digital Image Processing - IIT Kharagpur](https://nptel.ac.in/courses/117105079/)
|
||||
- [Image Processing and Analysis - UC Davis](https://www.youtube.com/playlist?list=PLA64AFAE28B8DD0FD)
|
||||
- [CS 543 - Computer Vision – Spring 2017](https://courses.engr.illinois.edu/cs543/sp2017/) ([Recordings](https://echo360.org/section/283b0471-3d9f-4efb-9c51-bc00e778735e/home))
|
||||
- [CAP 5415 - Computer Vision - University of Central Florida](https://www.crcv.ucf.edu/courses/cap5415-fall-2012/)([Video Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9))
|
||||
- [EE225B - Digital Image Processing, Spring 2014 - UC Berkeley](https://inst.eecs.berkeley.edu/~ee225b/sp14/) ([Videos - Spring 2006](http://www-video.eecs.berkeley.edu/~avz/video_225b.html))
|
||||
- [EE637 - Digital Image Processing I - Purdue University](https://engineering.purdue.edu/~bouman/ece637/) ([Videos - Sp 2011](https://www.youtube.com/user/ModelBasedImaging),[Videos - Sp 2007](https://engineering.purdue.edu/~bouman/ece637/lectures/lectures07/))
|
||||
- [EE637 - Digital Image Processing I - Purdue University](https://engineering.purdue.edu/~bouman/ece637/) ([Videos - Sp 2011 ](https://www.youtube.com/user/ModelBasedImaging),[Videos - Sp 2007](https://engineering.purdue.edu/~bouman/ece637/lectures/lectures07/))
|
||||
- [Computer Vision I: Variational Methods - TU München](https://vision.in.tum.de/teaching/ws2015/vmcv2015) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI))
|
||||
- [Computer Vision II: Multiple View Geometry (IN2228), SS 2016 - TU München](https://vision.in.tum.de/teaching/ss2016/mvg2016) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4))
|
||||
- [EGGN 510 - Image and Multidimensional Signal Processing - Colorado School of Mines](http://inside.mines.edu/~whoff/courses/EENG510/lectures/)
|
||||
|
|
@ -777,7 +783,7 @@ Table of Contents
|
|||
- [Photogrammetry Course - 2015/16 - University of Bonn, Germany](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRsi5vzy9PiQpNWHjq-bKN1)
|
||||
- [MOOC - Introduction to Computer Vision - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm)
|
||||
- [ECSE-4540 - Intro to Digital Image Processing - Spring 2015 - RPI](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)
|
||||
- [Machine Learning for Computer Vision - Winter 2017-2018 - UniHeidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)
|
||||
- [Machine Learning for Computer Vision - Winter 2017-2018 - UniHeidelberg ](https://www.youtube.com/playlist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)
|
||||
- [High-Level Vision - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9POZaT6UFAUUvrQiVQLfzCLN)
|
||||
- [Advanced Computer Vision - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9POnU3bVmCVMmtSXzCpcj28T)
|
||||
- [Introduction to Image Processing & Computer Vision - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PMexHWGgXJVINpr6ajy5vuz)
|
||||
|
|
@ -790,10 +796,10 @@ Table of Contents
|
|||
- [Photogrammetry 1 Course – 2020 - University of Bonn](https://www.ipb.uni-bonn.de/photo1-2020/)
|
||||
- [Photogrammetry II Course 2020/21 - University of Bonn](https://www.ipb.uni-bonn.de/photo2-2020/)
|
||||
|
||||
------------------------------
|
||||
|
||||
|
||||
--------------------------------
|
||||
### Computational Biology
|
||||
|
||||
- [ECS 124 - Foundations of Algorithms for Bioinformatics - Dan Gusfield, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs124videos/videolist.html) ([YouTube](https://www.youtube.com/playlist?list=PL_w_qWAQZtAbh8bHfzXYpdnVKCGCDmmoL))
|
||||
- [CSE549 - Computational Biology - Steven Skiena - 2010 SBU](https://www.youtube.com/playlist?list=PLA48145CC64FE7990)
|
||||
- [7.32 Systems Biology, Fall 2014 - MIT OCW](https://ocw.mit.edu/courses/physics/8-591j-systems-biology-fall-2014/)
|
||||
|
|
@ -814,23 +820,21 @@ Table of Contents
|
|||
- [NOC:Computational Systems Biology - IIT Madras](https://nptel.ac.in/courses/102/106/102106068/)
|
||||
- [NOC:BioInformatics:Algorithms and Applications - IIT Madras](https://nptel.ac.in/courses/102/106/102106065/)
|
||||
|
||||
------------------------------
|
||||
|
||||
----------------------------------
|
||||
### Quantum Computing
|
||||
- [15-859BB: Quantum Computation and Quantum Information 2018 - CMU](https://www.cs.cmu.edu/~odonnell/quantum18/) ([Youtube](https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz))
|
||||
- [Quantum Mechanics for Scientists and Engineers](https://www.youtube.com/playlist?list=PL_onPhFCkVQi2O405SkNf3hv-7HXnZnMm)
|
||||
- [Quantum Mechanics and Quantum Computation - Umesh Vazirani](https://www.youtube.com/playlist?list=PL74Rel4IAsETUwZS_Se_P-fSEyEVQwni7)
|
||||
- [Quantum Information and Computing by Prof. D.K. Ghosh](https://www.youtube.com/playlist?list=PLq-Gm0yRYwThGmlypvSFQ-kT2rPaXKAZ5)
|
||||
- [Quantum Computing by Prof. Debabrata Goswami](https://www.youtube.com/playlist?list=PLq-Gm0yRYwTj7Fs6jyzYa83HErSrpXgPQ)
|
||||
- [The Building Blocks of a Quantum Computer: Part 1 - TU Delft](https://ocw.tudelft.nl/courses/building-blocks-quantum-computer-part-1/)
|
||||
- [The Building Blocks of a Quantum Computer: Part 2 - TU Delft](https://ocw.tudelft.nl/courses/building-blocks-quantum-computer-part-2/)
|
||||
- [Quantum Cryptography - TU Delft](https://ocw.tudelft.nl/courses/quantum-cryptography/)
|
||||
|
||||
- [15-859BB: Quantum Computation and Quantum Information 2018 - CMU](https://www.cs.cmu.edu/~odonnell/quantum18/) ([Youtube](https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz))
|
||||
- [Quantum Mechanics for Scientists and Engineers](https://www.youtube.com/playlist?list=PL_onPhFCkVQi2O405SkNf3hv-7HXnZnMm)
|
||||
- [Quantum Mechanics and Quantum Computation - Umesh Vazirani](https://www.youtube.com/playlist?list=PL74Rel4IAsETUwZS_Se_P-fSEyEVQwni7)
|
||||
- [Quantum Information and Computing by Prof. D.K. Ghosh](https://www.youtube.com/playlist?list=PLq-Gm0yRYwThGmlypvSFQ-kT2rPaXKAZ5)
|
||||
- [Quantum Computing by Prof. Debabrata Goswami](https://www.youtube.com/playlist?list=PLq-Gm0yRYwTj7Fs6jyzYa83HErSrpXgPQ)
|
||||
- [The Building Blocks of a Quantum Computer: Part 1 - TU Delft](https://ocw.tudelft.nl/courses/building-blocks-quantum-computer-part-1/)
|
||||
- [The Building Blocks of a Quantum Computer: Part 2 - TU Delft](https://ocw.tudelft.nl/courses/building-blocks-quantum-computer-part-2/)
|
||||
- [Quantum Cryptography - TU Delft](https://ocw.tudelft.nl/courses/quantum-cryptography/)
|
||||
|
||||
------------------------------
|
||||
|
||||
----------------------------------
|
||||
### Robotics
|
||||
|
||||
- [CS 223A - Introduction to Robotics, Stanford University](https://see.stanford.edu/Course/CS223A)
|
||||
- [6.832 Underactuated Robotics - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-832-underactuated-robotics-spring-2009/)
|
||||
- [CS287 Advanced Robotics at UC Berkeley Fall 2019 -- Instructor: Pieter Abbeel](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjNBPJdt8WamRAt4XKc639wF)
|
||||
|
|
@ -850,7 +854,7 @@ Table of Contents
|
|||
- [METR 4202/7202 -- Robotics & Automation - University of Queensland](http://robotics.itee.uq.edu.au/~metr4202/lectures.html)
|
||||
- [Robotics - IIT Bombay](https://nptel.ac.in/courses/112101099/)
|
||||
- [Introduction to Machine Vision](https://www.youtube.com/playlist?list=PL1pxneANaikCO1-Z0XTaljLR3SE8tgRXY)
|
||||
- [6.834J Cognitive Robotics - MIT OCW](https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-412j-cognitive-robotics-spring-2016/)
|
||||
- [6.834J Cognitive Robotics - MIT OCW ](https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-412j-cognitive-robotics-spring-2016/)
|
||||
- [Hello (Real) World with ROS – Robot Operating System - TU Delft](https://ocw.tudelft.nl/courses/hello-real-world-ros-robot-operating-system/)
|
||||
- [Programming for Robotics (ROS) - ETH Zurich](https://www.youtube.com/playlist?list=PLE-BQwvVGf8HOvwXPgtDfWoxd4Cc6ghiP)
|
||||
- [Mechatronic System Design - TU Delft](https://ocw.tudelft.nl/courses/mechatronic-system-design/)
|
||||
|
|
@ -868,11 +872,12 @@ Table of Contents
|
|||
- [Introduction to Mobile Robotics - SS 2019 - Universität Freiburg](http://ais.informatik.uni-freiburg.de/teaching/ss19/robotics/)
|
||||
- [Robot Mapping - WS 2018/19 - Universität Freiburg](http://ais.informatik.uni-freiburg.de/teaching/ws18/mapping/)
|
||||
- [Mechanism and Robot Kinematics - IIT Kharagpur](https://nptel.ac.in/courses/112/105/112105236/)
|
||||
- [Self-Driving Cars - Cyrill Stachniss - Winter 2020/21 - University of Bonn)](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD)
|
||||
- [Self-Driving Cars - Cyrill Stachniss - Winter 2020/21 - University of Bonn) ](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD)
|
||||
- [Mobile Sensing and Robotics 1 – Part Stachniss (Jointly taught with PhoRS) - University of Bonn](https://www.ipb.uni-bonn.de/msr1-2020/)
|
||||
- [Mobile Sensing and Robotics 2 – Stachniss & Klingbeil/Holst - University of Bonn](https://www.ipb.uni-bonn.de/msr2-2020/)
|
||||
|
||||
------------------------------
|
||||
|
||||
----------------------------------
|
||||
|
||||
### Computational Finance
|
||||
|
||||
|
|
@ -884,16 +889,18 @@ Table of Contents
|
|||
- [ACT 460 / STA 2502 – Stochastic Methods for Actuarial Science - University of Toronto](http://www.utstat.utoronto.ca/sjaimung/courses/sta2502/main.htm)
|
||||
- [MMF1928H / STA 2503F –
|
||||
Pricing Theory I / Applied Probability for Mathematical Finance - University of Toronto](http://www.utstat.toronto.edu/sjaimung/courses/mmf1928/content2013.htm)
|
||||
- [STA 4505H – High Frequency & Algorithmic trading - University of Toronto](http://www.utstat.utoronto.ca/sjaimung/courses/sta4505/main-2014.htm)
|
||||
- [Mathematical Finance - IIT Guwahati](https://nptel.ac.in/courses/111/103/111103126/)
|
||||
- [Quantitative Finance - IIT Kanpur](https://nptel.ac.in/courses/110/104/110104066/)
|
||||
- [Financial Derivatives & Risk Management - IIT Roorkee](https://nptel.ac.in/courses/110/107/110107128/)
|
||||
- [Financial Mathematics - IIT Roorkee](https://nptel.ac.in/courses/112/107/112107260/)
|
||||
- [STA 4505H – High Frequency & Algorithmic trading - University of Toronto](http://www.utstat.utoronto.ca/sjaimung/courses/sta4505/main-2014.htm)
|
||||
- [Mathematical Finance - IIT Guwahati](https://nptel.ac.in/courses/111/103/111103126/)
|
||||
- [Quantitative Finance - IIT Kanpur](https://nptel.ac.in/courses/110/104/110104066/)
|
||||
- [Financial Derivatives & Risk Management - IIT Roorkee](https://nptel.ac.in/courses/110/107/110107128/)
|
||||
- [Financial Mathematics - IIT Roorkee](https://nptel.ac.in/courses/112/107/112107260/)
|
||||
|
||||
------------------------------
|
||||
|
||||
----------------------------------
|
||||
|
||||
### Blockchain Development
|
||||
|
||||
|
||||
- **Blockchain and Cryptocurrencies**
|
||||
- [Blockchain Fundamentals Decal 2018 - Berkeley DeCal](https://www.youtube.com/playlist?list=PLSONl1AVlZNU0QTGpbgEQXKHcmgYz-ddT)
|
||||
- [Blockchain for Developers Decal - Spring 2018 - Berkeley DeCal](https://www.youtube.com/playlist?list=PLSONl1AVlZNUzp71_H1kb87PvIh8kIZU9)
|
||||
|
|
@ -907,7 +914,13 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
|
|||
- [Solidity, Blockchain, and Smart Contract Course – Beginner to Expert Python Tutorial - FreeCodingCamp](https://www.youtube.com/watch?v=M576WGiDBdQ)
|
||||
- [Web 3.0 - Build Realtime Decentralized applications](https://www.youtube.com/playlist?list=PLS5SEs8ZftgVV6ah1fo2IvlHk1kTCy6un)
|
||||
|
||||
------------------------------
|
||||
-------------------------
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
### Misc
|
||||
|
||||
|
|
@ -943,3 +956,4 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
|
|||
- [Business Process Compliance (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/979/)
|
||||
- [Design Thinking for Digital Engineering (SS 2018) - Dr. Julia von Thienen - HPI](https://www.tele-task.de/series/1206/)
|
||||
- [CS224w – Social Network Analysis – Autumn 2017 - Stanford University](http://snap.stanford.edu/class/cs224w-videos-2017/)
|
||||
|
||||
|
|
|
|||
Ładowanie…
Reference in New Issue