github
/
cs-video-courses
mirror of https://github.com/Developer-Y/cs-video-courses.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Remove unavailable courses

Browse Source
pull/348/head
Developer-Y 3 months ago committed by GitHub
parent 83ef33a8e2
commit 78f49e08da
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 1 additions and 56 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Unified View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 57
      README.md

57
README.md
Unescape View File

@ -362,7 +362,6 @@ Table of Contents
- [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) ([YouTube](https://www.youtube.com/playlist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ)) - [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) ([YouTube](https://www.youtube.com/playlist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ))
- [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk) - [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
- [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn)) - [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn))
- [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk)
- [10 - 301/601 - Introduction to Machine Learning - Fall 2023 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22d5bf275d-ff88-4bf6-a865-b065010f55c2%22) - [10 - 301/601 - Introduction to Machine Learning - Fall 2023 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22d5bf275d-ff88-4bf6-a865-b065010f55c2%22)
- [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV) - [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV)
- [Mediterranean Machine Learning summer school 2023](https://www.youtube.com/playlist?list=PLF-wkqRv4u1Y-Bret-wrcPypPCZ3Gg_3L) - [Mediterranean Machine Learning summer school 2023](https://www.youtube.com/playlist?list=PLF-wkqRv4u1Y-Bret-wrcPypPCZ3Gg_3L)
@ -388,8 +387,6 @@ Table of Contents
- [Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6) - [Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
- [Python and machine learning - Stanford Crowd Course Initiative](https://www.youtube.com/playlist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB) - [Python and machine learning - Stanford Crowd Course Initiative](https://www.youtube.com/playlist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB)
- [MOOC - Machine Learning Part 1a - Udacity/Georgia Tech](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo) ([Part 1b](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlkESDcHD-0oqVx5sAIgz7O) [Part 2](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7) [Part 3](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp)) - [MOOC - Machine Learning Part 1a - Udacity/Georgia Tech](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo) ([Part 1b](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlkESDcHD-0oqVx5sAIgz7O) [Part 2](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7) [Part 3](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp))
- [Machine Learning and Pattern Recognition 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/mlpr.htm)
- [Introductory Applied Machine Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/iaml.htm)
- [Pattern Recognition Class (2012)- Universität Heidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRDZVU6wxPzGdx1CN12fn0w) - [Pattern Recognition Class (2012)- Universität Heidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRDZVU6wxPzGdx1CN12fn0w)
- [Introduction to Machine Learning and Pattern Recognition - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PPGGtFsTNoDWKl-VNVX5d6b) - [Introduction to Machine Learning and Pattern Recognition - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PPGGtFsTNoDWKl-VNVX5d6b)
- [Introduction to Machine Learning - IIT Kharagpur](https://nptel.ac.in/courses/106105152/) - [Introduction to Machine Learning - IIT Kharagpur](https://nptel.ac.in/courses/106105152/)
@ -402,10 +399,8 @@ Table of Contents
- [CS273a: Introduction to Machine Learning](http://sli.ics.uci.edu/Classes/2015W-273a) ([YouTube](https://www.youtube.com/playlist?list=PLkWzaBlA7utJMRi89i9FAKMopL0h0LBMk)) - [CS273a: Introduction to Machine Learning](http://sli.ics.uci.edu/Classes/2015W-273a) ([YouTube](https://www.youtube.com/playlist?list=PLkWzaBlA7utJMRi89i9FAKMopL0h0LBMk))
- [Machine Learning Crash Course 2015](https://www.youtube.com/playlist?list=PLyGKBDfnk-iD5dK8N7UBUFVVDBBtznenR) - [Machine Learning Crash Course 2015](https://www.youtube.com/playlist?list=PLyGKBDfnk-iD5dK8N7UBUFVVDBBtznenR)
- [COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16](http://inverseprobability.com/mlai2015/) - [COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16](http://inverseprobability.com/mlai2015/)
- [10715 Advanced Introduction to Machine Learning](https://sites.google.com/site/10715advancedmlintro2017f/lectures)
- [Introduction to Machine Learning - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV) - [Introduction to Machine Learning - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
- [Machine Learning - Pedro Domingos- University of Washington](https://www.youtube.com/user/UWCSE/playlists?view=50&sort=dd&shelf_id=16) - [Machine Learning - Pedro Domingos- University of Washington](https://www.youtube.com/user/UWCSE/playlists?view=50&sort=dd&shelf_id=16)
- [Advanced Machine Learning - 2019 - ETH Zürich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwSe98pzMGVR4bjAZZYrNT7L)
- [Machine Learning (COMP09012)](https://www.youtube.com/playlist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t) - [Machine Learning (COMP09012)](https://www.youtube.com/playlist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t)
- [Probabilistic Machine Learning 2020 - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd) - [Probabilistic Machine Learning 2020 - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
- [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC) - [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
@ -432,17 +427,12 @@ Table of Contents
- [Machine Learning Hardware and Systems (Cornell Tech, Spring 2022)](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6) - [Machine Learning Hardware and Systems (Cornell Tech, Spring 2022)](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)
- [ECE 4760 (Digital Systems Design Using Microcontrollers) at Cornell for the Fall, 2022](https://www.youtube.com/playlist?list=PLDqMkB5cbBA5oDg8VXM110GKc-CmvUqEZ) - [ECE 4760 (Digital Systems Design Using Microcontrollers) at Cornell for the Fall, 2022](https://www.youtube.com/playlist?list=PLDqMkB5cbBA5oDg8VXM110GKc-CmvUqEZ)
- [EfficientML.ai Lecture, Fall 2023, MIT 6.5940](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB) - [EfficientML.ai Lecture, Fall 2023, MIT 6.5940](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)
- [CS189 Machine Learning 2022 - UCB](https://www.youtube.com/playlist?list=PL682UO4IMem9vOoABWiaTQ5qN-kHjFCR-)
- [ETH Zurich Statistical Learning Theory spring 2021, by Joachim M. Buhmann](https://www.youtube.com/playlist?list=PL682UO4IMem_2ks8_z8ln7yvkHmVBOZCP)
- [SFU CMPT 727 Statistical Machine Learning spring 2022, 2023, by Maxwell Libbrecht](https://www.youtube.com/playlist?list=PL_5SuHtr8fsp95AhIKeTHbpcVdhlhB9h6) - [SFU CMPT 727 Statistical Machine Learning spring 2022, 2023, by Maxwell Libbrecht](https://www.youtube.com/playlist?list=PL_5SuHtr8fsp95AhIKeTHbpcVdhlhB9h6)
- [UC Berkeley CS 189 / 289A Introduction to Machine Learning fall 2023, by Jennifer Listgarten & Jitendra Malik](https://eecs189.org/) - [UC Berkeley CS 189 / 289A Introduction to Machine Learning fall 2023, by Jennifer Listgarten & Jitendra Malik](https://eecs189.org/)
- [UC Berkeley CS 189 / 289A Introduction to Machine Learning spring 2022, by Jonathan Shewchuk](https://www.youtube.com/playlist?list=PL682UO4IMem9vOoABWiaTQ5qN-kHjFCR-)
- [UC Berkeley CS 189 Introduction to Machine Learning (CDSS offering) spring 2022, by Marvin Zhang](https://www.youtube.com/playlist?list=PLCuQm2FL98HTlRmlwMk2AuFEM9n1c06HE) - [UC Berkeley CS 189 Introduction to Machine Learning (CDSS offering) spring 2022, by Marvin Zhang](https://www.youtube.com/playlist?list=PLCuQm2FL98HTlRmlwMk2AuFEM9n1c06HE)
- [MIT 6.036 Introduction to Machine Learning spring 2019, by Leslie Kaelbling](https://www.youtube.com/playlist?list=PLQEw29vp6f1Ae9dp8vkKB8H6sF1PHvP5N) - [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) - [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) - [MSU Machine Learning](https://www.youtube.com/watch?v=kMf0qDtQ_PM&list=PLZ-krWGO-UEyPHsZfOjYH03_TyIN2pPhl&pp=iAQB)
- [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) - [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) - [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) - [Cambridge Statistical Learning in Practice 2021, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT_b7sMBktkAgV9-cP052JFhb)
@ -452,7 +442,6 @@ Table of Contents
- [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/) - [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) - [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/) - [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/) - [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)) - [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/) - [Algorithms for Big Data - IIT Madras](https://nptel.ac.in/courses/106106142/)
@ -469,18 +458,13 @@ Table of Contents
- [MOOC - Data Mining with Weka](https://www.youtube.com/playlist?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD) - [MOOC - Data Mining with Weka](https://www.youtube.com/playlist?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD)
- [CS 290 DataMining Lectures](https://www.youtube.com/playlist?list=PLB4CCA346A5741C4C) - [CS 290 DataMining Lectures](https://www.youtube.com/playlist?list=PLB4CCA346A5741C4C)
- [CS246 - Mining Massive Data Sets, Winter 2016, Stanford University](https://web.stanford.edu/class/cs246/) ([YouTube](https://www.youtube.com/channel/UC_Oao2FYkLAUlUVkBfze4jg/videos)) - [CS246 - Mining Massive Data Sets, Winter 2016, Stanford University](https://web.stanford.edu/class/cs246/) ([YouTube](https://www.youtube.com/channel/UC_Oao2FYkLAUlUVkBfze4jg/videos))
- [Data Mining: Learning From Large Datasets - Fall 2017 - ETH Zurich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwRHZO6L6yT253VPgrZazQs6)
- [Information Retrieval - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn) - [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)) - [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** - #### **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) - [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) - [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](https://www.cs.cmu.edu/~epxing/Class/10708-20/lectures.html)
- [Probabilistic Graphical Models, Daphne Koller, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels) - [Probabilistic Graphical Models, Daphne Koller, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels)
- [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) - [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
- #### **Deep Learning** - #### **Deep Learning**
@ -512,7 +496,6 @@ Table of Contents
- [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd) - [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
- [Neural Networks and Applications - IIT Kharagpur](https://nptel.ac.in/courses/117105084/) - [Neural Networks and Applications - IIT Kharagpur](https://nptel.ac.in/courses/117105084/)
- [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture) - [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
- [Nvidia Machine Learning Class](https://www.youtube.com/playlist?list=PLTIkHmXc-7an8xbwhAJX-LQ4D4Uf-ar5I)
- [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD) - [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
- [Geometric Deep Learning - AMMI](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3) - [Geometric Deep Learning - AMMI](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)
- [Math for Deep Learning — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm) - [Math for Deep Learning — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm)
@ -523,18 +506,12 @@ Table of Contents
- [Deep Learning (Fall 2020) - Georgia Tech](https://www.youtube.com/playlist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7) - [Deep Learning (Fall 2020) - Georgia Tech](https://www.youtube.com/playlist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7)
- [CS7015 - Deep Learning - Prof. Mitesh M. Khapra - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT) - [CS7015 - Deep Learning - Prof. Mitesh M. Khapra - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)
- [ETH Zürich | Deep Learning in Scientific Computing 2023](https://www.youtube.com/playlist?list=PLJkYEExhe7rYY5HjpIJbgo-tDZ3bIAqAm) - [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) - [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home)
- [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4) - [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)
- [STATS 385 Analysis of Deep Learning - Stanford](https://www.youtube.com/playlist?list=PL682UO4IMem-dTd5O5SOj-J723BcA-CAw)
- [STATS 385 Theories of Deep Learning - Stanford](https://www.youtube.com/playlist?list=PL682UO4IMem-nYDzn1qQbq_ql3G9DDebS)
- #### **Reinforcement Learning** - #### **Reinforcement Learning**
- [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u) - [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) - [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)
- [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9) - [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)
- [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc) - [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
- [CS 285 - Deep Reinforcement Learning- UC Berkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A) - [CS 285 - Deep Reinforcement Learning- UC Berkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)
@ -576,7 +553,6 @@ Table of Contents
- [Natural Language Processing at UT Austin (Greg Durrett)](https://www.youtube.com/playlist?list=PLofp2YXfp7Tbk88uH4jejfXPd2OpWuSLq) - [Natural Language Processing at UT Austin (Greg Durrett)](https://www.youtube.com/playlist?list=PLofp2YXfp7Tbk88uH4jejfXPd2OpWuSLq)
- [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20) - [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
- [Deep Learning for Natural Language Processing, 2017 - Oxford University](https://github.com/oxford-cs-deepnlp-2017/lectures) - [Deep Learning for Natural Language Processing, 2017 - Oxford University](https://github.com/oxford-cs-deepnlp-2017/lectures)
- [Accelerated Natural Language Processing 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/anlp.htm)
- [Natural Language Processing - IIT Bombay](https://nptel.ac.in/courses/106101007/) - [Natural Language Processing - IIT Bombay](https://nptel.ac.in/courses/106101007/)
- [CMU Advanced NLP 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AYSXn_GKVgwXVluCT9chJ6) - [CMU Advanced NLP 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AYSXn_GKVgwXVluCT9chJ6)
- [CMU Neural Nets for NLP 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV) - [CMU Neural Nets for NLP 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)
@ -599,7 +575,6 @@ Table of Contents
- [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)) - [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))
- [Informatics 1 - Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/inf1cs.htm) - [Informatics 1 - Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/inf1cs.htm)
- [Informatics 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf2a/schedule.html) - [Informatics 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf2a/schedule.html)
- [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/) - [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) - [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) - [Extreme Classification ](https://www.youtube.com/watch?v=v0rAVyF4rWA&list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH&pp=iAQB)
@ -622,20 +597,15 @@ Table of Contents
- [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI) - [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) - [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)) - [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))
- [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page)
- [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn) - [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
- [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O) - [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)
- [Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo) - [Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo)
- [Regularization Methods for Machine Learning 2016](http://academictorrents.com/details/493251615310f9b6ae1f483126292378137074cd) ([YouTube](https://www.youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO)) - [Regularization Methods for Machine Learning 2016](http://academictorrents.com/details/493251615310f9b6ae1f483126292378137074cd) ([YouTube](https://www.youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO))
- [Statistical Inference in Big Data - University of Toronto](http://fields2015bigdata2inference.weebly.com/materials.html) - [Statistical Inference in Big Data - University of Toronto](http://fields2015bigdata2inference.weebly.com/materials.html)
- [Reinforcement Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/rl.htm)
- [Reinforcement Learning - IIT Madras](https://nptel.ac.in/courses/106106143/) - [Reinforcement Learning - IIT Madras](https://nptel.ac.in/courses/106106143/)
- [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z) - [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)
- [Music Information Retrieval - University of Victoria, 2014](http://marsyas.cs.uvic.ca/mirBook/course/)
- [PURDUE Machine Learning Summer School 2011](https://www.youtube.com/playlist?list=PL2A65507F7D725EFB)
- [Foundations of Machine Learning - Blmmoberg Edu](https://bloomberg.github.io/foml/#home) - [Foundations of Machine Learning - Blmmoberg Edu](https://bloomberg.github.io/foml/#home)
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ) - [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)
- [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr) - [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)
- [Big Data Systems (WT 2019/20) - Prof. Dr. Tilmann Rabl - HPI](https://www.tele-task.de/series/1286/) - [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/) - [Distributed Data Analytics (WT 2017/18) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1179/)
@ -647,8 +617,6 @@ Table of Contents
- [Cornell ECE 5545 Machine Learning Hardware and Systems spring 2022, by Mohamed Abdelfattah](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6) - [Cornell ECE 5545 Machine Learning Hardware and Systems spring 2022, by Mohamed Abdelfattah](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)
- [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)) - [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) - [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)
- [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https://people.ece.uw.edu/bilmes/classes/ee512/ee512_fall_2014/) - [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https://people.ece.uw.edu/bilmes/classes/ee512/ee512_fall_2014/)
- [UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison](https://www.youtube.com/playlist?list=PLIygTcviGPKB133Vh7zxsxFoblyfS4P5Y) - [UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison](https://www.youtube.com/playlist?list=PLIygTcviGPKB133Vh7zxsxFoblyfS4P5Y)
- [University of Wisconsin-Madison CS/ECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley](https://mediaspace.wisc.edu/channel/CS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913) - [University of Wisconsin-Madison CS/ECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley](https://mediaspace.wisc.edu/channel/CS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913)
@ -1012,30 +980,24 @@ Table of Contents
- [Computer Graphics 2012, Wolfgang Huerst, Utrecht University](https://www.youtube.com/playlist?list=PLDFA8FCF0017504DE) - [Computer Graphics 2012, Wolfgang Huerst, Utrecht University](https://www.youtube.com/playlist?list=PLDFA8FCF0017504DE)
- [CS 5630/6630 - Visualization, Fall 2016, University of Utah](http://dataviscourse.net/2016/index.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0)) - [CS 5630/6630 - Visualization, Fall 2016, University of Utah](http://dataviscourse.net/2016/index.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0))
- [Advanced Visualization UC Davis](https://www.youtube.com/playlist?list=PLslgisHe5tBNnySlj9TlL-n-4jNEK-xgi) - [Advanced Visualization UC Davis](https://www.youtube.com/playlist?list=PLslgisHe5tBNnySlj9TlL-n-4jNEK-xgi)
- [CSCI E-234 - Introduction to Computer Graphics and GPU Programming, Harvard Extension School](https://itunes.apple.com/us/itunes-u/csci-e-234-introduction-to/id429428034?mt=10)
- [Computer Graphics Fall 2011, Barbara Hecker](https://www.youtube.com/playlist?list=PL9C949E9F19381E61) - [Computer Graphics Fall 2011, Barbara Hecker](https://www.youtube.com/playlist?list=PL9C949E9F19381E61)
- [Introduction to Graphics Architecture](https://www.youtube.com/playlist?list=PL4A8BA1C3B38CFCA0)
- [Ray Tracing for Global Illumination, UCDavis](https://www.youtube.com/playlist?list=PLslgisHe5tBPckSYyKoU3jEA4bqiFmNBJ) - [Ray Tracing for Global Illumination, UCDavis](https://www.youtube.com/playlist?list=PLslgisHe5tBPckSYyKoU3jEA4bqiFmNBJ)
- [Rendering / Ray Tracing Course, SS 2015 - TU Wien](https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi) - [Rendering / Ray Tracing Course, SS 2015 - TU Wien](https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi)
- [ECS 178 Introduction to Geometric Modeling, Fall 2012, UC Davis](http://graphics.cs.ucdavis.edu/~joy/ecs178/Units.html) ([iTunes](https://itunes.apple.com/us/itunes-u/computer-science-introduction/id389259246)) introduction/id389259246))
- [Computational Geometry - IIT Delhi](https://nptel.ac.in/courses/106102011/) - [Computational Geometry - IIT Delhi](https://nptel.ac.in/courses/106102011/)
- [CS 468 - Differential Geometry for Computer Science - Stanford University](http://graphics.stanford.edu/courses/cs468-13-spring/schedule.html) ([Lecture videos](https://www.youtube.com/playlist?list=PL_deCdukpyu1rdH85XsEEREbpoqEauiJl)) - [CS 468 - Differential Geometry for Computer Science - Stanford University](http://graphics.stanford.edu/courses/cs468-13-spring/schedule.html) ([Lecture videos](https://www.youtube.com/playlist?list=PL_deCdukpyu1rdH85XsEEREbpoqEauiJl))
- [CMU 15-462/662: Computer Graphics](http://15462.courses.cs.cmu.edu/fall2020/) - [CMU 15-462/662: Computer Graphics](http://15462.courses.cs.cmu.edu/fall2020/)
- [Columbia COMS W4195 Computational Techniques in Pixel Processing fall 2004, by George Wolberg](https://www.youtube.com/playlist?list=PL682UO4IMem_b-jqraajuGCaZgOG4Uhr5)
------------------------------ ------------------------------
### Image Processing and Computer Vision ### Image Processing and Computer Vision
- [MOOC - Digital Image processing - Duke/Coursera](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
- [Digital Image Processing - IIT Kharagpur](https://nptel.ac.in/courses/117105079/) - [Digital Image Processing - IIT Kharagpur](https://nptel.ac.in/courses/117105079/)
- [Image Processing and Analysis - UC Davis](https://www.youtube.com/playlist?list=PLA64AFAE28B8DD0FD)
- [CS 543 - Computer Vision – Spring 2017](https://courses.engr.illinois.edu/cs543/sp2017/) ([Recordings](https://echo360.org/section/283b0471-3d9f-4efb-9c51-bc00e778735e/home)) - [CS 543 - Computer Vision – Spring 2017](https://courses.engr.illinois.edu/cs543/sp2017/) ([Recordings](https://echo360.org/section/283b0471-3d9f-4efb-9c51-bc00e778735e/home))
- [CAP 5415 - Computer Vision - University of Central Florida](https://www.crcv.ucf.edu/courses/cap5415-fall-2012/)([Video Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9)) - [CAP 5415 - Computer Vision - University of Central Florida](https://www.crcv.ucf.edu/courses/cap5415-fall-2012/)([Video Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9))
- [EE637 - Digital Image Processing I - Purdue University](https://engineering.purdue.edu/~bouman/ece637/) ([Videos - Sp 2011](https://www.youtube.com/user/ModelBasedImaging),[Videos - Sp 2007](https://engineering.purdue.edu/~bouman/ece637/lectures/lectures07/)) - [EE637 - Digital Image Processing I - Purdue University](https://engineering.purdue.edu/~bouman/ece637/) ([Videos - Sp 2011](https://www.youtube.com/user/ModelBasedImaging),[Videos - Sp 2007](https://engineering.purdue.edu/~bouman/ece637/lectures/lectures07/))
- [Computer Vision I: Variational Methods - TU München](https://vision.in.tum.de/teaching/ws2015/vmcv2015) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI)) - [Computer Vision I: Variational Methods - TU München](https://vision.in.tum.de/teaching/ws2015/vmcv2015) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI))
- [Computer Vision II: Multiple View Geometry (IN2228), SS 2016 - TU München](https://vision.in.tum.de/teaching/ss2016/mvg2016) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4)) - [Computer Vision II: Multiple View Geometry (IN2228), SS 2016 - TU München](https://vision.in.tum.de/teaching/ss2016/mvg2016) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4))
- [EGGN 510 - Image and Multidimensional Signal Processing - Colorado School of Mines](http://inside.mines.edu/~whoff/courses/EENG510/lectures/)
- [EENG 512/CSCI 512 - Computer Vision - Colorado School of Mines](https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3) - [EENG 512/CSCI 512 - Computer Vision - Colorado School of Mines](https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3)
- [Computer Vision for Visual Effects - RPI](https://www.ecse.rpi.edu/~rjradke/cvfxcourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a)) - [Computer Vision for Visual Effects - RPI](https://www.ecse.rpi.edu/~rjradke/cvfxcourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a))
- [Introduction to Image Processing - RPI](https://www.ecse.rpi.edu/~rjradke/improccourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)) - [Introduction to Image Processing - RPI](https://www.ecse.rpi.edu/~rjradke/improccourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX))
@ -1053,7 +1015,6 @@ Table of Contents
- [Biometrics - IIT Kanpur](https://nptel.ac.in/courses/106104119/) - [Biometrics - IIT Kanpur](https://nptel.ac.in/courses/106104119/)
- [Quantitative Big Imaging 2019 ETH Zurich](https://www.youtube.com/playlist?list=PLTWuXgjdOrnmXVVQG5DRkVeOIGOcTmCIw) - [Quantitative Big Imaging 2019 ETH Zurich](https://www.youtube.com/playlist?list=PLTWuXgjdOrnmXVVQG5DRkVeOIGOcTmCIw)
- [Multiple View Geometry in Computer Vision](https://www.youtube.com/playlist?list=PLyH-5mHPFffFvCCZcbdWXAb_cTy4ZG3Dj) - [Multiple View Geometry in Computer Vision](https://www.youtube.com/playlist?list=PLyH-5mHPFffFvCCZcbdWXAb_cTy4ZG3Dj)
- [3D Coordinate Systems – Remote Course (GE, 2020) - University of Bonn](https://www.ipb.uni-bonn.de/3dcs-ge-2020/) ([2013 lectures](https://www.ipb.uni-bonn.de/teaching/3d-coordinate-systems-podcasts/))
- [Modern C++ Course For CV (2020) - University of Bonn](https://www.ipb.uni-bonn.de/teaching/cpp-2020/lectures) - [Modern C++ Course For CV (2020) - University of Bonn](https://www.ipb.uni-bonn.de/teaching/cpp-2020/lectures)
- [Photogrammetry 1 Course – 2020 - University of Bonn](https://www.ipb.uni-bonn.de/photo1-2020/) - [Photogrammetry 1 Course – 2020 - University of Bonn](https://www.ipb.uni-bonn.de/photo1-2020/)
- [Photogrammetry II Course 2020/21 - University of Bonn](https://www.ipb.uni-bonn.de/photo2-2020/) - [Photogrammetry II Course 2020/21 - University of Bonn](https://www.ipb.uni-bonn.de/photo2-2020/)
@ -1162,7 +1123,6 @@ Table of Contents
- [Robot Mechanics and Control, SNU](https://www.youtube.com/playlist?list=PLkjy3Accn-E7mlbuSF4aajcMMckG4wLvW) - [Robot Mechanics and Control, SNU](https://www.youtube.com/playlist?list=PLkjy3Accn-E7mlbuSF4aajcMMckG4wLvW)
- [Introduction to Robotics Course - UNCC](https://www.youtube.com/playlist?list=PL4847E1D1C121292F) - [Introduction to Robotics Course - UNCC](https://www.youtube.com/playlist?list=PL4847E1D1C121292F)
- [SLAM Lectures](https://www.youtube.com/playlist?list=PLpUPoM7Rgzi_7YWn14Va2FODh7LzADBSm) - [SLAM Lectures](https://www.youtube.com/playlist?list=PLpUPoM7Rgzi_7YWn14Va2FODh7LzADBSm)
- [Introduction to Vision and Robotics 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ivr.htm)
- [ME 597 – Autonomous Mobile Robotics – Fall 2014](http://wavelab.uwaterloo.ca/index6ea9.html?page_id=267) - [ME 597 – Autonomous Mobile Robotics – Fall 2014](http://wavelab.uwaterloo.ca/index6ea9.html?page_id=267)
- [ME 780 – Perception For Autonomous Driving – Spring 2017](http://wavelab.uwaterloo.ca/indexaef8.html?page_id=481) - [ME 780 – Perception For Autonomous Driving – Spring 2017](http://wavelab.uwaterloo.ca/indexaef8.html?page_id=481)
- [ME780 – Nonlinear State Estimation for Robotics and Computer Vision – Spring 2017](http://wavelab.uwaterloo.ca/indexe9a5.html?page_id=533) - [ME780 – Nonlinear State Estimation for Robotics and Computer Vision – Spring 2017](http://wavelab.uwaterloo.ca/indexe9a5.html?page_id=533)
@ -1175,7 +1135,6 @@ Table of Contents
- [Mechatronic System Design - TU Delft](https://ocw.tudelft.nl/courses/mechatronic-system-design/) - [Mechatronic System Design - TU Delft](https://ocw.tudelft.nl/courses/mechatronic-system-design/)
- [CS 206 Evolutionary Robotics Course Spring 2020](https://www.youtube.com/playlist?list=PLAuiGdPEdw0inlKisMbjDypCbvcb_GBN9) - [CS 206 Evolutionary Robotics Course Spring 2020](https://www.youtube.com/playlist?list=PLAuiGdPEdw0inlKisMbjDypCbvcb_GBN9)
- [Foundations of Robotics - UTEC 2018-I](https://www.youtube.com/playlist?list=PLoWGuY2dW-Acmc8V5NYSAXBxADMm1rE4p) - [Foundations of Robotics - UTEC 2018-I](https://www.youtube.com/playlist?list=PLoWGuY2dW-Acmc8V5NYSAXBxADMm1rE4p)
- [Robotics - Youtube](https://www.youtube.com/playlist?list=PL_onPhFCkVQhuPiUxUW2lFHB39QsavEEA)
- [Robotics and Control: Theory and Practice IIT Roorkee](https://www.youtube.com/playlist?list=PLLy_2iUCG87AjAXKbNMiKJZ2T9vvGpMB0) - [Robotics and Control: Theory and Practice IIT Roorkee](https://www.youtube.com/playlist?list=PLLy_2iUCG87AjAXKbNMiKJZ2T9vvGpMB0)
- [Mechatronics](https://www.youtube.com/playlist?list=PLtuwVtW88fOeTFS_szBWif0Mcc0lfNWaz) - [Mechatronics](https://www.youtube.com/playlist?list=PLtuwVtW88fOeTFS_szBWif0Mcc0lfNWaz)
- [ME142 - Mechatronics Spring 2020 - UC Merced](https://www.youtube.com/playlist?list=PL-euleXgwWUNQ80DGq6qopHBmHcQyEyNQ) - [ME142 - Mechatronics Spring 2020 - UC Merced](https://www.youtube.com/playlist?list=PL-euleXgwWUNQ80DGq6qopHBmHcQyEyNQ)
@ -1188,8 +1147,6 @@ Table of Contents
- [Robot Mapping - WS 2018/19 - Universität Freiburg](http://ais.informatik.uni-freiburg.de/teaching/ws18/mapping/) - [Robot Mapping - WS 2018/19 - Universität Freiburg](http://ais.informatik.uni-freiburg.de/teaching/ws18/mapping/)
- [Mechanism and Robot Kinematics - IIT Kharagpur](https://nptel.ac.in/courses/112/105/112105236/) - [Mechanism and Robot Kinematics - IIT Kharagpur](https://nptel.ac.in/courses/112/105/112105236/)
- [Self-Driving Cars - Cyrill Stachniss - Winter 2020/21 - University of Bonn)](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD) - [Self-Driving Cars - Cyrill Stachniss - Winter 2020/21 - University of Bonn)](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD)
- [Mobile Sensing and Robotics 1 – Part Stachniss (Jointly taught with PhoRS) - University of Bonn](https://www.ipb.uni-bonn.de/msr1-2020/)
- [Mobile Sensing and Robotics 2 – Stachniss & Klingbeil/Holst - University of Bonn](https://www.ipb.uni-bonn.de/msr2-2020/)
- [Aerial Robotics - University of Pennsylvania (UPenn)](https://www.youtube.com/playlist?list=PLblGgzWkqSqM7IWsgjDetdzZDS1NbkTnd) - [Aerial Robotics - University of Pennsylvania (UPenn)](https://www.youtube.com/playlist?list=PLblGgzWkqSqM7IWsgjDetdzZDS1NbkTnd)
- [Modern Robotics - Northwestern University](https://www.youtube.com/playlist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx) - [Modern Robotics - Northwestern University](https://www.youtube.com/playlist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx)
- [MIT 6.4210/6.4212 - Robotic Manipulation - MIT](https://manipulation.csail.mit.edu/Fall2022/index.html) ([Youtube](https://www.youtube.com/playlist?list=PLkx8KyIQkMfUSDs2hvTWzaq-cxGl8Ha69)) - [MIT 6.4210/6.4212 - Robotic Manipulation - MIT](https://manipulation.csail.mit.edu/Fall2022/index.html) ([Youtube](https://www.youtube.com/playlist?list=PLkx8KyIQkMfUSDs2hvTWzaq-cxGl8Ha69))
@ -1198,14 +1155,10 @@ Table of Contents
- [Self-Driving Cars — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr) - [Self-Driving Cars — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)
- [Signal Processing: An Introduction by Nathan Kutz](https://www.youtube.com/playlist?list=PL6Vi_EcJpt8E96_JTKoOKY3HYWVGjf6b4) - [Signal Processing: An Introduction by Nathan Kutz](https://www.youtube.com/playlist?list=PL6Vi_EcJpt8E96_JTKoOKY3HYWVGjf6b4)
- [UC Santa Barbara ME 269 Network Systems, Dynamics and Control fall 2021, by Francesco Bullo](https://www.youtube.com/playlist?list=PL7bpQ3f3TaeMsueY06FCmbNIEOOY-Ri2_) - [UC Santa Barbara ME 269 Network Systems, Dynamics and Control fall 2021, by Francesco Bullo](https://www.youtube.com/playlist?list=PL7bpQ3f3TaeMsueY06FCmbNIEOOY-Ri2_)
- [EPFL EE 611 Linear System Theory spring 2020, by Philippe Müllhaupt](https://www.youtube.com/playlist?list=PL682UO4IMem8OCzyAhDQECF4og9UymP-m)
- [EPFL ME 427 Networked Control Systems spring 2020, by Giancarlo Ferrari Trecate](https://www.youtube.com/playlist?list=PL682UO4IMem9u8dIKvXWBsq7BscoghoVo)
- [EPFL ME 422 Multivariable Control spring 2020, by Giancarlo Ferrari Trecate](https://www.youtube.com/playlist?list=PL682UO4IMem9vEw3P4dkSHQjsaN6aIuFx)
- [CMU 16 299 Introduction to Feedback Control Systems spring 2022, by Chris Atkeson](http://www.cs.cmu.edu/~cga/controls-intro-22/) - [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) - [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) - [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) - [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)
------------------------------ ------------------------------
@ -1265,20 +1218,13 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
- [Spatial Regression Analysis, Spring 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenkk7x197-CKPFZ0BuAOCRGT) - [Spatial Regression Analysis, Spring 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenkk7x197-CKPFZ0BuAOCRGT)
- [Spatial Data Science, Autumn 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenlu-MBaxCRL2KZNk62n7o1g) - [Spatial Data Science, Autumn 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenlu-MBaxCRL2KZNk62n7o1g)
- [Introduction to Geographic Information Systems - IIT Roorkee](https://nptel.ac.in/courses/105107155/) - [Introduction to Geographic Information Systems - IIT Roorkee](https://nptel.ac.in/courses/105107155/)
- [SCICOMP - An Introduction to Efficient Scientific Computation, Universität Bremen](http://mlecture.uni-bremen.de/ml/index.php?option=com_content&view=article&id=233)
- [CS E-259 XML with Java, Java Servlet, and JSP - Harvard](http://cs259.tv/2007/fall/)
- [CSE 40373 - Spr 2009: Multimedia Systems](https://www.youtube.com/view_play_list?p=0105F1427EFAEE0A)
- [Exposing Digital Photography - Harvard Extension School](http://tv.digitalphotography.exposed/2010/fall/)
- [MOOC - Matlab - Coursera](https://youtu.be/6iN56l7dEMY) - [MOOC - Matlab - Coursera](https://youtu.be/6iN56l7dEMY)
- [Computing for Computer Scientists - University of Michigan](https://c4cs.github.io) - [Computing for Computer Scientists - University of Michigan](https://c4cs.github.io)
- [Linux Implementation/Administration Practicum - Redhat by Tulio Llosa](https://itunes.apple.com/us/itunes-u/linux-implementation-administration/id430673915) - [Linux Implementation/Administration Practicum - Redhat by Tulio Llosa](https://itunes.apple.com/us/itunes-u/linux-implementation-administration/id430673915)
- [SIMS 141 - Search Engines - Fall 2005 UCBerkeley](https://www.youtube.com/view_play_list?p=1777A89066B1D71D)
- [Innovative Computing - Harvard University](https://www.youtube.com/playlist?list=PLE3E96113F544495A) - [Innovative Computing - Harvard University](https://www.youtube.com/playlist?list=PLE3E96113F544495A)
- [Linux Programming & Scripting - IIT Madras](https://nptel.ac.in/courses/117106113/) - [Linux Programming & Scripting - IIT Madras](https://nptel.ac.in/courses/117106113/)
- [Model Checking - IIT Madras](https://nptel.ac.in/courses/106106136/) - [Model Checking - IIT Madras](https://nptel.ac.in/courses/106106136/)
- [Virtual Reality - IIT Madras](https://nptel.ac.in/courses/106106138/) - [Virtual Reality - IIT Madras](https://nptel.ac.in/courses/106106138/)
- [CS 195 - Social Implications of Computing, Spring 2015 - UC Berkeley](http://inst.eecs.berkeley.edu/~cs195/sp15/) ([YouTube](https://www.youtube.com/playlist?list=PL-XXv-cvA_iAmCxqGV1Px2pKchYfozH-e))
- [Spatial Databases and Geographic Information Systems - Technische Universität Braunschweig, Germany (in German)](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/gis)
- [Dependable Systems (SS 2014) - HPI University of Potsdam](https://www.tele-task.de/series/1005/) - [Dependable Systems (SS 2014) - HPI University of Potsdam](https://www.tele-task.de/series/1005/)
- [Business Process Compliance (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/979/) - [Business Process Compliance (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/979/)
- [Design Thinking for Digital Engineering (SS 2018) - Dr. Julia von Thienen - HPI](https://www.tele-task.de/series/1206/) - [Design Thinking for Digital Engineering (SS 2018) - Dr. Julia von Thienen - HPI](https://www.tele-task.de/series/1206/)
@ -1287,7 +1233,6 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
- [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) - [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) - [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) - [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)
- [Free Probability Theory and Ramanujan Graphs - Spring 2024](https://www.youtube.com/playlist?list=PL-FpbJb6Ix_Npx7GSSxnD2BLrLtwkdwt4) - [Free Probability Theory and Ramanujan Graphs - Spring 2024](https://www.youtube.com/playlist?list=PL-FpbJb6Ix_Npx7GSSxnD2BLrLtwkdwt4)
- [Asymptotics and perturbation methods - Prof. Steven Strogatz](https://www.youtube.com/playlist?list=PL5EH0ZJ7V0jV7kMYvPcZ7F9oaf_YAlfbI) - [Asymptotics and perturbation methods - Prof. Steven Strogatz](https://www.youtube.com/playlist?list=PL5EH0ZJ7V0jV7kMYvPcZ7F9oaf_YAlfbI)
- [ETH Zürich AI in the Sciences and Engineering](https://www.youtube.com/playlist?list=PLJkYEExhe7rYFkBIB2U5pf_RWzYnFLj7r) - [ETH Zürich AI in the Sciences and Engineering](https://www.youtube.com/playlist?list=PLJkYEExhe7rYFkBIB2U5pf_RWzYnFLj7r)

Write Preview
Loading…
Cancel
Save