Statistics and Machine Learning for Astronomy

* Fall 2023: 10-301/601 Introduction to Machine Learning

* Fall 2023: 10-301/601 Introduction to Machine Learning

* Update README.md

* Update README.md

* Update CS Theory Toolkit

* Updatin Theoritical CS 2

* Update Quantum Computing

* Update README.md

* Update Math for CS

* Update Programming for AI

* Updating ML

* Extreme Classifications

README.md

@@ -309,6 +309,7 @@ Table of Contents
 - [Semantic Web Technologies by Dr. Harald Sack - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAeihlKcWpzVzB51rr014TwD)
 - [Knowledge Engineering with Semantic Web Technologies by Dr. Harald Sack - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAcBXlhTti7kzetSsi1PpJGR)
 - [T81-558: Applications of Deep Neural Networks by Jeff Heaton, 2022, Washington University in St. Louis](https://sites.wustl.edu/jeffheaton/t81-558/)
+- [MSU programming for AI](https://www.youtube.com/playlist?list=PLZ-krWGO-UEz84TseDMIlx2Set6xZp0YP)
 
 ------------------------------
 
@@ -402,6 +403,7 @@ Table of Contents
   - [MIT 6.036 Introduction to Machine Learning spring 2019, by Leslie Kaelbling](https://www.youtube.com/playlist?list=PLQEw29vp6f1Ae9dp8vkKB8H6sF1PHvP5N)
   - [UCLA STAT C161 Introduction to Pattern Recognition and Machine Learning winter 2023, by Arash Amini](https://www.youtube.com/playlist?list=PLN_qg0-2-0SwLCXGUyM3FNSRwG6GNgONr)
   - [UT Austin Machine Learning Algorithms & Statistical Learning by Adam Klivans & Qiang Liu](https://www.youtube.com/playlist?list=PL682UO4IMem-57hfHijQyk24vR9wq7CWV)
+  - [MSU Machine Learning](https://www.youtube.com/watch?v=kMf0qDtQ_PM&list=PLZ-krWGO-UEyPHsZfOjYH03_TyIN2pPhl&pp=iAQB)
 - **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))
@@ -504,6 +506,8 @@ Table of Contents
   - [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)
+  - [ES 661 (2023): Probabilistic Machine Learning - IIT Gandhinagar](https://www.youtube.com/playlist?list=PLftoLyLEwECBEJyfRBJoSBd0UaTjEcs3I)
+  - [Information Retrieval in High Dimensional Data](https://www.youtube.com/playlist?list=PLaE1lKCe0jH3ePp9wCU1ygTquVOXY-UYv)
 - **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))
@@ -533,6 +537,7 @@ Table of Contents
   - [Computational Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ccs.htm)
   - [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https://nptel.ac.in/courses/108/105/108105103/)
   - [Deep Learning for Computer Vision - University of Michigan](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
+  - [ Extreme Classification ](https://www.youtube.com/watch?v=v0rAVyF4rWA&list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH&pp=iAQB)
 - **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)
@@ -664,6 +669,7 @@ Table of Contents
   - [INTRODUCTION TO MATRIX ALGEBRA](http://ma.mathforcollege.com/youtube/index.html)
   - [Computational Linear Algebra - fast.ai](https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY) ([Github](https://github.com/fastai/numerical-linear-algebra))
   - [ENGR108: Introduction to Applied Linear Algebra—Vectors, Matrices, and Least Squares - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9)
+  - [MIT 18.S096 Matrix Calculus For Machine Learning And Beyond](https://www.youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE)
 - [10-600 Math Background for ML - CMU](https://www.youtube.com/playlist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)
 - [MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning](https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video-lectures/)
 - [Direct Methods for Sparse Linear Systems - Prof Tim Davis - UFL](https://www.youtube.com/playlist?list=PL5EvFKC69QIyRLFuxWRnH6hIw6e1-bBXB)
@@ -693,6 +699,7 @@ Table of Contents
 - [Fundamental Mathematics for Robotics spring 2020, by Ken Tomiyama](https://www.youtube.com/@citqualityeducation803/videos)
 - [Short Course on Casual Inference, by Sanjay Shakkottai](https://www.youtube.com/playlist?list=PLcip-Gs_jEK_l2pNG8V_0UDK9jyPtLyuq)
 - [UCLA STAT 100C Linear Models spring 2023, by Arash Amini](https://www.youtube.com/playlist?list=PLN_qg0-2-0SzrzpEoojAa4anJdaKa49GM)
+- [MSU Math for Computing](https://www.youtube.com/playlist?list=PLZ-krWGO-UEyLqtyA2pACX_tXXBTLWkI1)
 
 ------------------------------
 
@@ -956,6 +963,7 @@ Table of Contents
 
 ### Computational Physics
 
+- [Statistics and Machine Learning for Astronomy](https://www.youtube.com/playlist?list=PLo4wAAMJnA1wDQ2ZmTJCaBYdrXqBWUwT5)
 - [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)