From dca4d49a8f974bf9ddae45cf2953f02c729d3829 Mon Sep 17 00:00:00 2001 From: Developer-Y Date: Sat, 22 Oct 2016 01:46:36 +0530 Subject: [PATCH] Machine learning + additional Systems courses --- README.md | 39 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 39 insertions(+) diff --git a/README.md b/README.md index ed27baf..a3b46ca 100644 --- a/README.md +++ b/README.md @@ -69,8 +69,47 @@ Courses - [CS 162 - Operating Systems and Systems Programming, UC Berkeley](http://cs162.eecs.berkeley.edu/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)) - [CS 4414 - Operating Systems, University of Virginia](http://rust-class.org/pages/classes.html) - [CSE 421/521 - Introduction to Operating Systems, SUNY University at Buffalo, NY - Spring 2016](https://www.ops-class.org/courses/buffalo/CSE421_Spring2016/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLE6LEE8y2Jp-kbEcVR2W3vfx0Pdca0BD3)) +- [CS 377 Fall 16: Operating Systems - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbDTmsCRGWsMW_PzIOpXnckw) +- [6.828: Operating System Engineering [Fall 2014]](https://www.youtube.com/playlist?list=PLfciLKR3SgqNJKKIKUliWoNBBH1VHL3AP) - [VU:Distributed Systems: Principles and Paradigms by Maarten van Steen (Fall 2012), Vrije Universiteit, Amsterdam](http://www.distributed-systems.net/courses/ds/ds-screencasts/) - [CS 5530 - Database Systems, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCrercQNP9tTsjjPdgRVYvC7) - [15-721 - Database Systems, CMU](http://15721.courses.cs.cmu.edu/spring2016/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLSE8ODhjZXjbisIGOepfnlbfxeH7TW-8O)) - [CS 186 - Database Systems, UC Berkeley, Spring 2015](https://sites.google.com/site/cs186spring2015/home/schedule-and-notes) ([Lectures- YouTube](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBVK2QzAV-R7NMA1ZkaiR2y)) - [CS 6530 - Graduate-level Database Systems, Fall 2016, University of Utah](https://www.cs.utah.edu/~lifeifei/cs6530/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLbuogVdPnkCqwHUcieMrytP453Ep0y6eI)) +- [CS 677 Spring 16: Distributed Operating Systems - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbC68w0PW3huMHDDRNsDCTjp) +- [CS 436: Distributed Computer Systems - U Waterloo](https://www.youtube.com/playlist?list=PLawkBQ15NDEkDJ5IyLIJUTZ1rRM9YQq6N) +- [6.824: Distributed Systems, Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLkcQbKbegkMqiWf7nF8apfMRL4P4sw8UL) +- [CS194 Advanced Operating Systems Structures and Implementation, Spring 2013, UC Berkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iB_5Q8G8kW5idSwNmXypmQE) +- [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/) + +------------------------------ + +### Machine Learning + +- [StatLearning - Intro to Statistical Learning, Stanford University](https://lagunita.stanford.edu/courses/HumanitiesandScience/StatLearning/Winter2015/about) +- [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html) +- [10-601 - Machine Learning, Carnegie Mellon University](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) +- [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf) +- [CS 446 - Machine Learning, Fall 2016, UIUC](http://l2r.cs.illinois.edu/~danr/Teaching/CS446-16/schedule.html)([Fall 2015 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91n10wPxeRh-45-8HATwc8W)) +- [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://www.youtube.com/playlist?list=PLA89DCFA6ADACE599) +- [CS 5140/6140 - Data Mining, Spring 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB)) +- [CS 5350/6350 - Machine Learning, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B) +- [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut) +- [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI) +- [DS-GA 1008 - Deep Learning, New York University](http://cilvr.cs.nyu.edu/doku.php?id=deeplearning2015:schedule) +- [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://www.ischool.berkeley.edu/newsandevents/audiovideo/webcast/21963) +- [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/) +- [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu) +- [10-701 Machine Learning - Tom Mitchell, Spring 2011, Carnegie Mellon University](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) +- [10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](http://www.stat.cmu.edu/~larry/=sml/) +- [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](http://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html) +- [36-705 - Intermediate Statistics - Larry Wasserman, CMU](http://www.stat.cmu.edu/~larry/=stat705/) +- [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 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)) +- [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXG) +- [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page) + +------- +