### Please Note: UC Berkeley course videos to be taken offline on 15th March 2017. As per website, Beginning March 15, 2017, iTunesU Course Capture content will be removed. You may continue to use/download course capture content until that date. [issue#47](https://github.com/Developer-Y/cs-video-courses/issues/47)
**Introduction**
- Please check [NOTES](https://github.com/Developer-Y/cs-video-courses/blob/master/NOTES.md) for general information about this list.
- Please refer [CONTRIBUTING.md](https://github.com/Developer-Y/cs-video-courses/blob/master/CONTRIBUTING.md) for contribution guidelines.
------------------------------
Table of Contents
@ -267,7 +264,8 @@ Courses
- [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
- [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html)
- [10-601 - Introduction to Machine Learning (MS), 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)
- [10-701 - 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))
- [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
- [CS 446 - Machine Learning, Spring 2019, UIUC](https://courses.engr.illinois.edu/cs446/sp2019/AGS/_site/)([ Fall 2016 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O))
@ -666,12 +664,15 @@ Courses
--------------------------------
### Computational Biology
- [ECS 124 - Foundations of Algorithms for Bioinformatics - Dan Gusfield, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs124videos/videolist.html) ([YouTube](https://www.youtube.com/playlist?list=PL_w_qWAQZtAbh8bHfzXYpdnVKCGCDmmoL))
- [7.32 Systems Biology, Fall 2014 - MIT OCW](https://ocw.mit.edu/courses/physics/8-591j-systems-biology-fall-2014/)
- [6.802J/ 6.874J Foundations of Computational and Systems Biology - MIT OCW](https://ocw.mit.edu/courses/biology/7-91j-foundations-of-computational-and-systems-biology-spring-2014/video-lectures/)
- [6.047/6.878 Public Lectures on Computational Biology: Genomes, Networks, Evolution - MIT](http://compbio.mit.edu/lectures.html)
- [Bio 84 - Your Genes and Your Health, Stanford University](http://bio84.stanford.edu/)
- [03-712: Biological Modeling and Simulation - Carnegie Mellon University](https://www.youtube.com/playlist?list=PLUKmtlUTHfBOgpZFmTvsTwkUh2K1RAse-)
- [MOOC - Bioinformatics Algorithms: An Active Learning Approach - UC San Diego/Coursera](http://bioinformaticsalgorithms.com/videos.htm)
- [Neural Networks and Biological Modeling - Lecturer: Prof. Wulfram Gerstner - EPFL](http://www.klewel.com/conferences/epfl-neural-networks/)
- [Video Lectures of Wulfram Gerstner: Computational Neuroscience - EPFL](http://lcn.epfl.ch/~gerstner/VideoLecturesGerstner.html)
@ -715,6 +716,7 @@ Courses
- **Computational Finance**
- [MOOC - Mathematical Methods for Quantitative Finance, University of Washington/Coursera)](http://academictorrents.com/details/dfc1ddde962101f00ef9764b91181bd6bb5c9e93)
- [18.S096 Topics in Mathematics with Applications in Finance, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013/video-lectures/)
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