TOC - ML Categories

README.md

@@ -22,6 +22,18 @@ Table of Contents
 - [Software Engineering](#software-engineering)
 - [Artificial Intelligence](#artificial-intelligence)
 - [Machine Learning](#machine-learning)
+  * [Introduction to Machine Learning](#introduction-to-machine-learning)
+  * [Data Mining](#data-mining)
+  * [Probabilistic Graphical Modeling](#probabilistic-graphical-modeling)
+  * [Deep Learning](#deep-learning)
+  * [Reinforcement Learning](#reinforcement-learning)
+  * [Advanced Machine Learning](#advanced-machine-learning)
+  * [Natural Language Processing](#natural-language-processing)
+  * [Generative AI](#generative-ai)
+  * [Computer Vision](#computer-vision)
+  * [Time Series Analysis](#time-series-analysis)
+  * [Optimization](#optimization)
+  * [Misc Machine Learning Topics](#misc-machine-learning-topics)
 - [Computer Networks](#computer-networks)
 - [Math for Computer Scientist](#math-for-computer-scientist)
 - [Web Programming and Internet Technologies](#web-programming-and-internet-technologies)
@@ -322,7 +334,7 @@ Table of Contents
 
 ### Machine Learning
 
-- **Introduction to Machine Learning**
+- #### **Introduction to Machine Learning**
   - [Introduction to Machine Learning for Coders](https://course18.fast.ai/ml)
   - [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)
@@ -415,7 +427,18 @@ Table of Contents
   - [Data Science for Dynamical Systems, by Oliver Wallscheid & Sebastian Peitz](https://www.youtube.com/@UPB_DS4DS-bu8ec/playlists)
   - [STATS C161/C261 - Introduction to Pattern Recognition and Machine Learning Winter 2024](https://www.youtube.com/playlist?list=PLN_qg0-2-0SxQ2vlXxlZVMKkt4gI1YYP8)
   - [Cambridge Statistical Learning in Practice 2021, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT_b7sMBktkAgV9-cP052JFhb)
-- **Data Mining**
+  - [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/)
+  - [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/)
+  - [Python Data Science with the TCLab](https://github.com/APMonitor/data_science) ([YouTube](https://www.youtube.com/watch?v=pAgW_bZVo88&list=PLLBUgWXdTBDg1Qgmwt4jKtVn9BWh5-zgy))
+- #### **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))
@@ -429,19 +452,7 @@ Table of Contents
   - [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**
+- #### **Probabilistic Graphical Modeling**
-  - [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/)
-  - [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/)
-  - [Python Data Science with the TCLab](https://github.com/APMonitor/data_science) ([YouTube](https://www.youtube.com/watch?v=pAgW_bZVo88&list=PLLBUgWXdTBDg1Qgmwt4jKtVn9BWh5-zgy))
-- **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)
@@ -449,7 +460,7 @@ Table of Contents
   - [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**
+- #### **Deep Learning**
   - [Full Stack Deep Learning - Course 2022](https://www.youtube.com/watch?v=-Iob-FW5jVM&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur)
   - [Full Stack Deep Learning - Course 2021](https://www.youtube.com/watch?v=fGxWfEuUu0w&list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)
   - [NYU Deep Learning Spring 2020](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
@@ -494,7 +505,7 @@ Table of Contents
   - [UT Austin CS 394D Deep Learning fall 2021, by Philipp KrahenBühl](https://www.youtube.com/playlist?list=PL682UO4IMem_B72vmX4r0v3UrAjPRFAnE)
   - [CMU 10 417 / 10 617 Intermediate Deep Learning fall 2022, by Ruslan Salakhutdinov](https://www.youtube.com/playlist?list=PL682UO4IMem8A3WUecf30olVT--FhRK7h)
   - [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home)
-- **Reinforcement Learning**
+- #### **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)
@@ -516,14 +527,14 @@ Table of Contents
   - [CMU 10 703 Deep Reinforcement Learning & Control fall 2022, by Katerina Fragkiadaki](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22ee5794a2-cb54-4edc-836b-aefc01023243%22)
   - [ECE524 Foundations of Reinforcement Learning at Princeton University, Spring 2024](https://www.youtube.com/playlist?list=PLYXvCE1En13epbogBmgafC_Yyyk9oQogl)
   - [REINFORCEMENT LEARNING AND OPTIMAL CONTROL - Dimitri P. Bertsekas, ASU](https://web.mit.edu/dimitrib/www/RLbook.html)
-- **Advanced Machine Learning**
+- #### **Advanced Machine Learning**
   - [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)
   - [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**
+- #### **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))
   - [Stanford XCS224U: Natural Language Understanding I Spring 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp)
@@ -546,9 +557,9 @@ Table of Contents
   - [Stanford CS25 - Transformers United 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)
   - [Natural Language Processing (IN2361) - TUM](https://live.rbg.tum.de/?year=2019&term=W&slug=nlp&view=3)
   - [CS 886: Recent Advances on Foundation Models Winter 2024 - University of Waterloo](https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/)
-- **Generative AI**
+- #### **Generative AI**
   - [CS 6785 - Deep Generative Models - Cornell Tech, Spring 2023)](https://www.youtube.com/playlist?list=PL2UML_KCiC0UPzjW9BjO-IW6dqliu9O4B)
-- **ML based Computer Vision**
+- #### **Computer Vision**
   - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
   - [CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley)](https://www.youtube.com/playlist?list=PLzWRmD0Vi2KVsrCqA4VnztE4t71KnTnP5)
   - [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))
@@ -558,10 +569,10 @@ Table of Contents
   - [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**
+- #### **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)
-- **Optimization**
+- #### **Optimization**
   - [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-pmLzCoMu_ANU6atEFyyJl)
   - [EE364a: Convex Optimization I - Stanford University](http://web.stanford.edu/class/ee364a/videos.html)
   - [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
@@ -569,7 +580,7 @@ Table of Contents
   - [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))
   - [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
-- **Misc Machine Learning Topics**
+- #### **Misc Machine Learning Topics**
   - [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)
   - [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))