- [Math for Computer Scientist](#math-for-computer-scientist)
- [Web Programming and Internet Technologies](#web-programming-and-internet-technologies)
@ -164,12 +144,6 @@ Table of Contents
- [UIUC CS 498 ABD / CS 598 CSC Algorithms for Big Data fall 2020, by Chandra Chekuri](https://www.youtube.com/playlist?list=PL682UO4IMem_OA8_wY3nnSDLOSWr3PgYa)
- [Algorithms for Data Science spring 2021, by Anil Maheshwari ](https://people.scs.carleton.ca/~maheshwa/courses/ADS/ADS-S20.html)
- [CMU 15 859 Algorithms for Big Data fall 2020, by David Woodruff](http://www.cs.cmu.edu/~dwoodruf/teaching/15859-fall20/index.html)
- [CO 642 Graph Theory - University of Waterloo](https://www.youtube.com/playlist?list=PL2BdWtDKMS6mplieDd_vls0TBX9Fq2jht)
- [COMS W4241 Numerical Algorithms spring 2006, by Henryk Wozniakowski - Columbia](https://www.youtube.com/playlist?list=PL682UO4IMem98vm26lNUJ0TV0-EFrcUJb)
- [Bonn Algorithms and Uncertainty summer 2021, by Thomas Kesselheim](https://www.youtube.com/playlist?list=PLyzcvvgje7aDZRFMJZgaVgOW5t5KLvD1-)
- [Harvard Information Theory 2022, by Gregory Falkovich](https://www.youtube.com/playlist?list=PLDEN2FPNHwVZKAFqfFl1b_NNAESTJwV9o)
- [Math 510 - Linear Programming and Network Flows - Colorado State University](https://www.math.colostate.edu/~adams/teaching/math510fall2020/)
- [LINFO 2266 Advanced Algorithms for Optimization 2021, by Pierre Schaus - UCLouvain](https://www.youtube.com/playlist?list=PL682UO4IMem-wgYnJl5yMswlNkve_8oGU)
------------------------------
@ -182,7 +156,7 @@ Table of Contents
- [CS 4400 – Computer Systems Fall 2016 - UoUtah](https://www.eng.utah.edu/~cs4400/)
- [CS110: Principles of Computer Systems - Stanford](https://web.stanford.edu/class/archive/cs/cs110/cs110.1202/)
- #### **Operating Systems**
- **Operating Systems**
- [ECS 150 - Operating Systems and Systems Programming - Fall 2020 - Joël Porquet-Lupine - UC Davis](https://lupteach.gitlab.io/courses/ucd-ecs150/online/)
- [CS124 Operating Systems - California Institute of Technology, Fall 2018 - Youtube](https://www.youtube.com/playlist?list=PL3swII2vlVoVbav6FV98pidq6BsTN4u56)
- [CS 162 Operating Systems and Systems Programming, Spring 2015 - University of California, Berkeley](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c?sort=titleSorter)
@ -198,7 +172,7 @@ Table of Contents
- [CS194 Advanced Operating Systems Structures and Implementation, Spring 2013 InfoCoBuild, UC Berkeley](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs194-spring2013-berkeley.html)
- [CSE 60641 - Graduate Operating Systems, Fall 08](https://www.youtube.com/view_play_list?p=22B10D854588E20C)
- [Advanced Programming in the UNIX Environment](https://stevens.netmeister.org/631/)
- [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)
@ -214,8 +188,7 @@ Table of Contents
- [Information Retrieval and Web Search Engines - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1516/IRWS)
- [Middleware and Distributed Systems (WS 2009/10) - Dr. Martin von Löwis - HPI](https://www.tele-task.de/series/729/)
- [CSE 138 - Distributed Systems - UC Santa Cruz, Spring 2020](https://www.youtube.com/playlist?list=PLNPUF5QyWU8O0Wd8QDh9KaM1ggsxspJ31) ([2021](https://www.youtube.com/playlist?list=PLNPUF5QyWU8PydLG2cIJrCvnn5I_exhYx))
- [CMU 15 440 / 640 Distributed Systems spring 2022, by Mahadev Satyanarayanan, Padmanabhan Pillai](https://www.youtube.com/playlist?list=PL682UO4IMem8a6N8GAOGkgcbDkGG1g5OH)
- #### **Real-Time Systems**
- **Real-Time Systems**
- [CPCS 663 - Real-Time Systems: Video Material - TAMU](http://faculty.cs.tamu.edu/bettati/Courses/663/Video/presentation.html)
- [Real Time Systems - IIT Kharagpur](https://nptel.ac.in/courses/106105036/)
- [6.172 Performance Engineering of Software Systems - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-172-performance-engineering-of-software-systems-fall-2018/)
@ -256,7 +229,7 @@ Table of Contents
### Software Engineering
- #### **Object Oriented Design**
- **Object Oriented Design**
- [ECE 462 Object-Oriented Programming using C++ and Java - Purdue](https://engineering.purdue.edu/OOSD/F2008/F2008.html)
- [Object-oriented Program Design and Software Engineering - Aduni](http://aduni.org/courses/java/index.php?view=cw)
- [OOSE - Object-Oriented Software Engineering, Dr. Tim Lethbridge](https://www.youtube.com/playlist?list=PL6iDJCG2nkhfNlig8NY5ePPfGvtQX6yLa)
@ -267,7 +240,7 @@ Table of Contents
- [CS3 - Design in Computing - Richard Buckland UNSW](https://www.youtube.com/playlist?list=PL0C5D85DBA20E685C)
- [Informatics 1 - Object-Oriented Programming 2014/15- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/inf1op.htm)
- [Software Engineering with Objects and Components 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/seoc.htm)
- [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))
- [CS 282 (2014): Concurrent Java Network Programming in Android](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp4KSJPUyaQCj7x--NQ6kvcX)
- [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))
@ -294,7 +267,7 @@ Table of Contents
- [UIUC ECE 508 / CS 508 Manycore Parallel Algorithms spring 2019, by Wen-mei Hwu](https://www.youtube.com/playlist?list=PLRRuQYjFhpmspsME4LmLbuCG1VHbJmIcy)
- [UIUC CS 420 / ECE 492 / CSE 402 Introduction to Parallel Programming for Scientists and Engineers fall 2015, by Sanjay Kale](https://www.youtube.com/playlist?list=PL682UO4IMem9cAjfy_RPjAc6k-HPYpTa9)
- [Stanford CME 213 Introduction to Parallel Computing using MPI, openMP, and CUDA winter 2020, by Eric Darve](https://www.youtube.com/playlist?list=PLAtMgFDMfGy2mysjPHN_d1cf9sR1muRkq)
- #### **Mobile Application Development**
- **Mobile Application Development**
- [MOOC Programming Mobile Applications for Android Handheld Systems - University of Maryland](https://www.youtube.com/playlist?list=PLkHsKoi6eZnwilGXUc95CqS7Vw4uLLDLG)
- [CS 193p - Developing Applications for iOS, Stanford University](https://cs193p.sites.stanford.edu/)
- [CS S-76 Building Mobile Applications - Harvard](http://cs76.tv/2013/summer/)
@ -342,7 +315,7 @@ Table of Contents
### Machine Learning
- #### **Introduction to Machine Learning**
- **Introduction to Machine Learning**
- [Introduction to Machine Learning for Coders](https://course18.fast.ai/ml)
- [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
@ -431,22 +404,7 @@ Table of Contents
- [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)
- [EPFL CS 233 Introduction to Machine Learning fall 2022, by Mathieu Salzmann](https://www.youtube.com/playlist?list=PL682UO4IMem_UeKY1XQIkPq6R9A0MxLHB)
- [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 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/)
- [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**
- **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))
@ -460,7 +418,19 @@ 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)
- #### **Probabilistic Graphical Modeling**
- **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/)
- [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 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)
@ -511,9 +481,8 @@ Table of Contents
- [ETH Zürich | Deep Learning in Scientific Computing 2023](https://www.youtube.com/playlist?list=PLJkYEExhe7rYY5HjpIJbgo-tDZ3bIAqAm)
- [CMU 10 707 Deep Learning fall 2017 by Ruslan Salakhutdinov](https://www.youtube.com/playlist?list=PL682UO4IMem_lRk9A7mOEj0jwhko0X_Tc)
- [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**
- [Stanford CS25 - Transformers United 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)
- [Reinforcement Learning - Fall 2021 chandar-lab](https://www.youtube.com/playlist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)
- [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)
- [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))
@ -577,10 +539,10 @@ 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)
- [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/)
@ -588,7 +550,7 @@ 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))
@ -618,7 +580,6 @@ Table of Contents
- [High Dimensional Analysis: Random Matrices and Machine Learning by Roland Speicher](https://rolandspeicher.com/lectures/course-on-high-dimensional-analysis-random-matrices-and-machine-learning-summer-term-2023/)([Youtube](https://www.youtube.com/playlist?list=PLY11JnnnTUCabY4nc0hKptrd5qEWtLoo2))
- [ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming](https://www.youtube.com/playlist?list=PLcByDTr7vRTYJ2s6DL-3bzjGwtQif33y3)
- [EPFL COM 516 Markov Chains and Algorithmic Applications spring 2020, by Olivier Leveque](https://www.youtube.com/playlist?list=PL682UO4IMem-9ID1nBaWYCFCh_qU7yYNd)
- [UC Irvine CS 274B Learning in Graphical Models spring 2021, by Erik Sudderth](https://www.youtube.com/playlist?list=PL682UO4IMem_-FJQo4HfyIfOr2dG8QF_Y)
------------------------------
@ -668,7 +629,6 @@ Table of Contents
- [Discrete Mathematics and Mathematical Reasoning 2015/16 - University of Edinburgh](https://www.inf.ed.ac.uk/teaching/courses/dmmr/)
- [6.041 Probabilistic Systems Analysis and Applied Probability - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/)
- [Machine Learning & Causal Inference: A Short Course](https://www.youtube.com/playlist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-)
- [Causal Inference Jonas Peters](https://www.youtube.com/playlist?list=PLzERW_Obpmv-_EXTV1zTmlv-Ab5Tfbp8X)
- [UIUC ECE 534 Random Processes fall 2020 - Ilan Shomorony](https://www.youtube.com/playlist?list=PL682UO4IMem-1IrJp1jTK_w1lh0qOwLx3)
- [ISyE 320 Simulation and Probabilistic Modeling spring 2022, by Qiaomin Xie - University of Wisconsin-Madison](https://www.youtube.com/playlist?list=PL682UO4IMem-7c512A5mwIn_J90z8Awgd)
- [Cambridge Principles of Statistics 2020, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT_YBwXFUfRAb1ZOXnPYDgVNa)
- [UC Berkeley STAT 150 Stochastic Processes spring 2021, by Brett Kolesnik](https://www.youtube.com/playlist?list=PL682UO4IMem_H6exlt8NMfBSc0137_wlo)
- [UIUC Math 564 Applied Stochastic Processes fall 2016, by Kay Kirkpatrick](https://www.youtube.com/playlist?list=PL682UO4IMem-5C_U0ml6O2kM1s1Yo-D9D)
- **Linear Algebra**
- [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https://willett.psd.uchicago.edu/teaching/mathematical-foundations-of-machine-learning-fall-2021/)
- [18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/)
@ -716,7 +671,6 @@ Table of Contents
- [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)
- [Cornell MATH 2940 Linear Algebra for Engineers spring 2009, by Andy Ruina](https://vod.video.cornell.edu/channel/MATH%2B2940%2B-%2BLinear%2BAlgebra%2Bfor%2BEngineers%2BSpring%2B2009/114208531)
- [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)
@ -823,10 +777,6 @@ Table of Contents
- [Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015](http://ais.informatik.uni-freiburg.de/teaching/ss15/bridging/)
- [Columbia ELEN E6711 Stochastic Models in Information Systems fall 2005, by Yuliy Barsyhnikov](https://www.youtube.com/playlist?list=PL682UO4IMem9dvI-8vjxlPkM5onW9WoIp)
- [Columbia ELEN E6717 Information Theory fall 2003, by Vittorio Castelli](https://www.youtube.com/playlist?list=PL682UO4IMem_IUZIFzlJi8vCTtS-Xi8eY)
- [CMU 21 738 Extremal Combinatorics spring 2020, by Po-Shen Loh](https://www.youtube.com/playlist?list=PLgTkKBA6LRqaGKITvQS1QuIBoEbOVwFTm)
------------------------------
@ -914,14 +864,6 @@ Table of Contents
- [Design of Digital Circuits - ETH Zürich - Spring 2019](https://www.youtube.com/playlist?list=PL5Q2soXY2Zi8J58xLKBNFQFHRO3GrXxA9)
- [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)
- [UC Berkeley EECS16A Designing Information Devices and Systems I summer 2020, by Grace Kuo, Panos Zarkos, Urmita Sikder](https://www.youtube.com/playlist?list=PL682UO4IMem9_svw6nCsGOaDZaYSjpgcB)
- [UC Berkeley EECS 16B Designing Information Devices and Systems II fall 2020, by Seth Sanders, Miki Lustig](https://www.youtube.com/playlist?list=PL682UO4IMem_QO6og7qXyvjMUHXNI7Hqs)
- [UC Berkeley EECS 152 / 252A Computer Architecture and Engineering spring 2023, by Sophia Shao](https://inst.eecs.berkeley.edu/~cs152/sp23/)
- [UC Berkeley EECS 151 / 251A Introduction to Digital Design and Integrated Circuits fall 2022, by Sophia Shao](https://inst.eecs.berkeley.edu/~eecs151/fa22/)
- [ELEN E4896 - MUSIC SIGNAL PROCESSING - Spring 2016 - Columbia](https://www.ee.columbia.edu/~dpwe/e4896/outline.html)
- [Columbia ELEN E6820 Speech and Audio Processing spring 2006, by Dan Ellis](https://www.youtube.com/playlist?list=PL682UO4IMem8IpOKncIUSEFsYWoJyS5ks)
- [CMU 11 751 / 18 781 Speech Recognition and Understanding fall 2022, by Shinji Watanabe](https://www.youtube.com/playlist?list=PLfVqr2l0FG-u7chWKPQMDoT0o-I2ejxeK)
- [CMU 11 492 Speech Processing fall 2021, by Alan W. Black](https://www.youtube.com/playlist?list=PL682UO4IMem9InUp3CZHL4g7IwzfKXe3c)
- [Columbia COMS W4195 Computational Techniques in Pixel Processing fall 2004, by George Wolberg](https://www.youtube.com/playlist?list=PL682UO4IMem_b-jqraajuGCaZgOG4Uhr5)
------------------------------
@ -1058,9 +999,6 @@ Table of Contents
- [NOC:BioInformatics:Algorithms and Applications - IIT Madras](https://nptel.ac.in/courses/102/106/102106065/)
- [Data Science and AI for Neuroscience Summer School - Caltech Neuroscience](https://www.youtube.com/playlist?list=PLlPxFwLgTtnfDtq_AO3dd62s33RHtU4bp)
- [Neuroscience 299: Computing with High-Dimensional Vectors - Fall 2021 - UC Berkeley](https://redwood.berkeley.edu/courses/computing-with-high-dimensional-vectors/)
- [BIO410/510 Bioinformatics - California State University, Monterey Bay](https://www.youtube.com/playlist?list=PL17NIL2mko8mOPN9W0e4LOjJ2Dkome7ZH)
- [BIO412: Comparative Genomics - California State University, Monterey Bay](https://www.youtube.com/playlist?list=PL17NIL2mko8nJ1RvfIwtaFnukoWICqS5B)
- [CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)](https://www.youtube.com/playlist?list=PL0X39D1PSBWPfCPbHb8GC7hoev8SG4Aye)
------------------------------
@ -1156,8 +1094,8 @@ Table of Contents
- [CMU 16 299 Introduction to Feedback Control Systems spring 2022, by Chris Atkeson](http://www.cs.cmu.edu/~cga/controls-intro-22/)
- [MAE 509 Linear Matrix Inequality Methods in Optimal and Robust Control, by Matthew M. Peet](https://www.youtube.com/playlist?list=PL5ebyVGQORm6n158o-I_liUZ7Q5Od43li)
- [UIUC CS 588 Autonomous Vehicle System Engineering fall 2021, by David Forsyth](http://luthuli.cs.uiuc.edu/~daf/courses/MAAV-21/588-2021-records.html)
- [EPFL ME 425 Model Predictive Control fall 2020, by Colin Jones](https://www.youtube.com/playlist?list=PLHmHXT53cpnkpbwLqlKae0iKexM8SXKDM)
- [UW EE 549 State Estimation and Kalman Filtering spring 2009, by Kristi Morgansen](https://www.youtube.com/playlist?list=PL682UO4IMem9jhuFhwS3UYexvGTTC4duu)
------------------------------
@ -1236,6 +1174,3 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
- [The Missing Semester of Your CS Education](https://missing.csail.mit.edu/)
- [University of Crete, Computer Science video lectures (mostly Greek language lectures, very few 100% English-speaking courses). Very popular CS destination for European Erasmus students](https://opencourses.uoc.gr/courses/course/index.php?categoryid=28)
- [Stanford EE274 I Data Compression: Theory and Applications I 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rPj4uhbgUAaEKwNNak8xgkz)
- [Probabilistic Methods - University of Waterloo](https://www.youtube.com/playlist?list=PL2BdWtDKMS6nRF72s3TOGyBqXwMVHYiLU)
- [LINGI 2365 Constraint Programming 2021, by Pierre Schaus - UCLouvain](https://www.youtube.com/playlist?list=PL682UO4IMem_f2_aOILBQ6kesW5Gs-A3f)
