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@ -262,10 +262,10 @@ Courses
- [MOOC Machine Learning Andrew Ng - Coursera/Stanford](https://www.youtube.com/playlist?list=PLJ1-ciQ35nuiyL1PX6O4NdF5CjjaDdnVC) ([Notes](http://www.holehouse.org/mlclass/))
- [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)
- [CS155 - Machine Learning & Data Mining, 2017 - Caltech](https://www.youtube.com/playlist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC) ([Notes](http://www.yisongyue.com/courses/cs155/2017_winter/)) ([2016](https://www.youtube.com/playlist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))
- [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)
- [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))
- [CS155 2017 Machine Learning & Data Mining - Caltech](https://www.youtube.com/playlist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC) ([Notes](http://www.yisongyue.com/courses/cs155/2017_winter/)) ([2016](https://www.youtube.com/playlist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))
- [10-601 - Introduction to Machine Learning (MS), Carnegie Mellon University](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml)
- [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, Carnegie Mellon University](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B))
- [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
- [CS 446 - Machine Learning, Fall 2016, UIUC](http://l2r.cs.illinois.edu/~danr/Teaching/CS446-16/schedule.html)([Fall 2015 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91n10wPxeRh-45-8HATwc8W))
- [undergraduate machine learning at UBC 2012, Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)
@ -314,12 +314,12 @@ Courses
- **Deep Learning**
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/schedule.html)
- [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
- [6.S094: Deep Learning for Self-Driving Cars - MIT](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [MIT 6.S094: Deep Learning for Self-Driving Cars](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [CS294-129 Designing, Visualizing and Understanding Deep Neural Networks](https://bcourses.berkeley.edu/courses/1453965/pages/cs294-129-designing-visualizing-and-understanding-deep-neural-networks) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIxopmdJF_CLNqG3QuDFHQUm))
- [CS294-112, Deep Reinforcement Learning Sp17](http://rll.berkeley.edu/deeprlcourse/) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX))
- [Deep Learning, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning)
- [MOOC - Neural Networks for Machine Learning, Geoffrey Hinton 2016 - Coursera](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)
- [Deep Learning - University of Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
- [Deep Learning - University of Waterloo](https://uwaterloo.ca/data-science/deep-learning)
- [Neural networks class - Université de Sherbrooke](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) ([YouTube](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))
- [Neural Networks and Applications - IIT Kharagpur](http://nptel.ac.in/courses/117105084/)
- [Practical Deep Learning For Coders](http://course.fast.ai/lessons/lessons.html)
@ -335,7 +335,6 @@ Courses
- [MOOC - Natural Language Processing, Dan Jurafsky & Chris Manning - Coursera](https://www.youtube.com/playlist?list=PL6397E4B26D00A269)
- [MOOC - Natural Language Processing - Coursera, University of Michigan](https://www.youtube.com/playlist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR)
- [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXG)
- [Deep Learning for Natural Language Processing, 2017 - Oxford University](https://github.com/oxford-cs-deepnlp-2017/lectures)
- [Machine Learning for Robotics and Computer Vision, WS 2013/2014 - TU München](http://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 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf2a/schedule.html)
@ -364,10 +363,9 @@ Courses
### Computer Networks
- [14-740 - Fundamentals of Computer Networks, Spring 2017 - CMU](http://www.ini740.com/S17/index.html#videos)
- [Introduction to Computer Networking - Stanford University](https://www.youtube.com/playlist?list=PLb9DZOrm6ibgwCLh3ghsw0Pke13JA3znj)
- [Prof. Shiv Kalyanaraman's Online Audio and Video Lectures on Computer Networking - RPI](https://www.ecse.rpi.edu/homepages/koushik/shivkuma-teaching/video_index.html)
- [Audio/Video Recordings and Podcasts of Professor Raj Jain's Lectures - Washington University in St. Louis](http://www.cse.wustl.edu/~jain/videos.htm) ([YouTube](https://www.youtube.com/user/ProfRajJain/playlists))
- [Computer Networks, Tanenbaum, Wetherall Computer Networks 5e - Video Lectures](http://media.pearsoncmg.com/ph/streaming/esm/tanenbaum5e_videonotes/tanenbaum_videoNotes.html)
- [Computer Networks, Tanenbaum, Wetherall Computer Networks 5e - Video Lectures](http://media.pearsoncmg.com/ph/streaming/esm/tanenbaum5e_videonotes/tanenbaum_videoNotes.html) ([U Washington MOOC](https://www.youtube.com/playlist?list=PLkHsKoi6eZnzJl1qTzmvBwTxrSJW4D2Jj))
- [CSEP 561 - PMP Network Systems, Fall 2013 - University of Washington](http://courses.cs.washington.edu/courses/csep561/13au/) ([Videos](http://courses.cs.washington.edu/courses/csep561/13au/video/))
- [CSEP 561 – Network Systems, Autumn 2008 - University of Washington](http://courses.cs.washington.edu/courses/csep561/08au/) ([Videos](http://courses.cs.washington.edu/courses/csep561/08au/lectures/))
- [Computer Networks - IIT Kharagpur](http://nptel.ac.in/courses/106105081/)
@ -412,6 +410,7 @@ Courses
- [MOOC - Statistics One - Coursera](https://www.youtube.com/playlist?list=PLycnP7USbo1V3jlyjAzWUB201cLxPq4NP)
- [Probability and Random Processes - IIT Kharagpur](http://nptel.ac.in/courses/117105085/)
- [MOOC - Statistical Inference - Coursera](https://www.youtube.com/playlist?list=PLgIPpm6tJZoSvrYM54BUqJJ4CWrYeGO40)
- [MOOC - Statistics One - Coursera](https://www.youtube.com/playlist?list=PLycnP7USbo1V3jlyjAzWUB201cLxPq4NP)
- [131B - Introduction to Probability and Statistics, UCI](https://www.youtube.com/playlist?list=PLqOZ6FD_RQ7k-j-86QUC2_0nEu0QOP-Wy)
- [The Probability and Statistics Full Course - YouTube](https://www.youtube.com/playlist?list=PLLssT5z_DsK_WYzNXVjT695FdxRxvlSF8)
- [STATS 250 - Introduction to Statistics and Data Analysis, UMichigan](https://www.youtube.com/playlist?list=PL432AB57AF9F43D4F)
@ -452,7 +451,7 @@ Courses
### Theoretical CS and Programming Languages
- [MOOC - Compilers - Stanford University](https://www.youtube.com/playlist?list=PL34iyE0uXtxrgPZMv0dVmq1P8Io889oWZ)
- [MOOC - Compilers - Stanford University](https://www.youtube.com/playlist?list=PLkHsKoi6eZnyEj2pz3R_ER7izlenSxP-I)
- [CS 164 Hack your language, UC Berkeley](https://sites.google.com/a/bodik.org/cs164/home) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PL3A16CFC42CA6EF4F))
- [CS 173 Programming Languages, Brown University](http://cs.brown.edu/courses/cs173/2012/Videos/) ([Book](http://cs.brown.edu/courses/cs173/2012/book/))
- [CS 421 - Programming Languages and Compilers, UIUC](https://courses.engr.illinois.edu/cs421/fa2014/) ([Videos](http://recordings.engineering.illinois.edu/ess/portal/section/631edaeb-2a33-4537-b7c8-0c1cba783a4f))

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