CampusX Data Science Mentorship Program 2022-23 (Hindi)

README.md

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   - [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk)
   - [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV)
   - [Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)](https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83)
-  - [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https://www.youtube.com/playlist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh)
+  - [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https://www.youtube.com/playlist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh) ([Spring 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy))
   - [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, Fall 2016, UIUC](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O)
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   - [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)
   - [100 Days of Machine Learning - CampusX (Hindi)](https://www.youtube.com/playlist?list=PLKnIA16_Rmvbr7zKYQuBfsVkjoLcJgxHH)
+  - [CampusX Data Science Mentorship Program 2022-23 (Hindi)](https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z)
 - **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))
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   - [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/aml2021)
   - [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))
+  - [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI)
 - **Natural Language Processing**
   - [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http://web.stanford.edu/class/cs224n/) ([Lectures -  Winter 2019](https://youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures -  Winter 2021](https://youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ))
   - [CS 224N - Natural Language Processing, Stanford University](https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html) ([Lecture videos](https://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab))
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   - [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/)
   - [Introduction to Data-Centric AI - MIT](https://dcai.csail.mit.edu/)
-  - [Parallel Computing and Scientific Machine Learning](https://www.youtube.com/playlist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)	
+  - [Parallel Computing and Scientific Machine Learning](https://www.youtube.com/playlist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)
+  - [Machine Learning System Design - System Design Fight Club](https://www.youtube.com/playlist?list=PLlvnxKilk3aKx0oFua-HTtFf-d_inQ8Qn)
 
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 - [Astronomical data analysis using Python 2021 - NRC IUCAA](https://www.youtube.com/playlist?list=PL3jLiVc5sr3P7Uov0VFsEfwPOEG1rF-FO)
 - [SPARC Workshop on Machine Learning in Solar Physics and Space Weather - CESSI IISER Kolkata](https://www.youtube.com/playlist?list=PLtxxbMktGS8pjURPBXJTAkClnXVE_ZNni)
+- [Data-Driven Methods and Machine Learning in Atmospheric Sciences - IISC](https://www.youtube.com/playlist?list=PLnUDCXHuQXBaGrYSbDMWi2inp7GSe3__8)
 - [Computational Astrophysics - AstroTwinCoLo, 2015](https://www.youtube.com/playlist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw)
 - [Astroinformatics 2019 Conference - Caltech](https://m.youtube.com/playlist?list=PL8_xPU5epJdcv2L4MzpzNd6gPyq6glmjc)
 - [Space Science with Python - Astroniz](https://www.youtube.com/playlist?list=PLNvIBWkEdZ2iCc8G9dvx6MQvBruJG-TE8)
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 ### Computational Finance
 
 - [COMP510 - Computational Finance - Steven Skiena - 2007 HKUST](https://www.youtube.com/playlist?list=PL9E205B8FAAD530E1)
+- [Computational Finance Course - Prof Grzelak](https://www.youtube.com/playlist?list=PL6zzGYGhbWrPaI-op1UfNl0uDglxdkaOB)
+- [Financial Engineering Course: Interest Rates and xVA - Prof Grzelak](https://www.youtube.com/playlist?list=PL6zzGYGhbWrMpjEKDtnrHWyIj-oVLKCYD)
 - [MOOC - Mathematical Methods for Quantitative Finance, University of Washington/Coursera)](http://academictorrents.com/details/dfc1ddde962101f00ef9764b91181bd6bb5c9e93)
 - [18.S096 Topics in Mathematics with Applications in Finance, MIT OCW](https://ocw.mit.edu/courses/18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013/video_galleries/video-lectures/)
 - [Computational Finance - Universität Leipzig](https://www.youtube.com/playlist?list=PL4i4aZbplv9J5jan6mDbDHtjfm7ghMWfj)