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

Merge remote-tracking branch 'refs/remotes/origin/master' into Developer-Y/master

Browse Source
pull/46/head
mundher 8 years ago
parent 98729b194b d3cf6bfdc5
commit 8e945fbd0f
1 changed files with 10 additions and 22 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. 32
      README.md

32
README.md
Unescape View File

@ -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 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/) - [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) - [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) - [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)) - [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))
- [10-701 - 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)) - [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) - [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)) - [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) - [undergraduate machine learning at UBC 2012, Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)
@ -274,12 +274,9 @@ Courses
- [CS4780/5780 Machine Learning, Fall 2013 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2013fa/) - [CS4780/5780 Machine Learning, Fall 2013 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2013fa/)
- [CS 5350/6350 - Machine Learning, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B) - [CS 5350/6350 - Machine Learning, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B)
- [ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech](https://filebox.ece.vt.edu/~s15ece5984/) - [ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech](https://filebox.ece.vt.edu/~s15ece5984/)
- [CSx824/ECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech](https://www.youtube.com/playlist?list=PLUenpfvlyoa0rMoE5nXA8kdctBKE9eSob)
- [STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto](http://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html) - [STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto](http://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html)
- [CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo](https://www.youtube.com/channel/UCR4_akQ1HYMUcDszPQ6jh8Q/videos) - [CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo](https://www.youtube.com/channel/UCR4_akQ1HYMUcDszPQ6jh8Q/videos)
- [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](http://www.inference.phy.cam.ac.uk/itprnn_lectures/)
- [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))
- [Machine Learning and Data Mining - WS 2004 - Universität Freiburg](https://electures.informatik.uni-freiburg.de/portal/web/guest/detail/-/modulnavigation/view/75/3164/) - [Machine Learning and Data Mining - WS 2004 - Universität Freiburg](https://electures.informatik.uni-freiburg.de/portal/web/guest/detail/-/modulnavigation/view/75/3164/)
- [Machine Learning and Pattern Recognition 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/mlpr.htm) - [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) - [Introductory Applied Machine Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/iaml.htm)
@ -289,10 +286,6 @@ Courses
- [Pattern Recognition - IISC Bangalore](http://nptel.ac.in/courses/117108048/) - [Pattern Recognition - IISC Bangalore](http://nptel.ac.in/courses/117108048/)
- [Pattern Recognition and Application - IIT Kharagpur](http://nptel.ac.in/courses/117105101/) - [Pattern Recognition and Application - IIT Kharagpur](http://nptel.ac.in/courses/117105101/)
- [Pattern Recognition - IIT Madras](http://nptel.ac.in/courses/106106046/) - [Pattern Recognition - IIT Madras](http://nptel.ac.in/courses/106106046/)
- [Machine Learning Summer School 2013 - Max Planck Institute for Intelligent Systems Tübingen](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
- [Machine Learning - Professor Kogan (Spring 2016) - Rutgers](https://www.youtube.com/playlist?list=PLauepKFT6DK_1_plY78bXMDj-bshv7UsQ)
- [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)
- **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)) - [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 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))
@ -321,30 +314,27 @@ Courses
- **Deep Learning** - **Deep Learning**
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/schedule.html) - [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) - [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)) - [CS294-129 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)) - [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) - [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) - [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 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/) - [Neural Networks and Applications - IIT Kharagpur](http://nptel.ac.in/courses/117105084/)
- [Practical Deep Learning For Coders](http://course.fast.ai/lessons/lessons.html) - [Practical Deep Learning For Coders](http://course.fast.ai/lessons/lessons.html)
- [Nvidia Machine Learning Class](https://www.youtube.com/playlist?list=PLTIkHmXc-7an8xbwhAJX-LQ4D4Uf-ar5I)
- **Advanced Machine Learning** - **Advanced Machine Learning**
- [Machine Learning 2013 - Nando de Freitas, UBC](https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6) - [Machine Learning 2013 - Nando de Freitas, UBC](https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6)
- [Machine Learning, 2014-2015, University of Oxford](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/) - [Machine Learning, 2014-2015, University of Oxford](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/)
- [10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](http://www.stat.cmu.edu/~larry/=sml/) ([Spring 2015](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r)) - [10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](http://www.stat.cmu.edu/~larry/=sml/) ([Spring 2015](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r))
- [10-715 Advanced Introduction to Machine Learning - CMU](http://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/) ([YouTube](https://www.youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ)) - [10-715 Advanced Introduction to Machine Learning - CMU](http://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/) ([YouTube](https://www.youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ))
- [CS 281B - Scalable Machine Learning, Alex Smola, UC Berkeley](http://alex.smola.org/teaching/berkeley2012/syllabus.html) - [CS 281B - Scalable Machine Learning, Alex Smola, UC Berkeley](http://alex.smola.org/teaching/berkeley2012/syllabus.html)
- [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
- **ML based Natural Language Processing and Computer Vision** - **ML based Natural Language Processing and Computer Vision**
- [CS 224d - Deep Learning for Natural Language Processing, Stanford University](http://cs224d.stanford.edu/syllabus.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLCJlDcMjVoEdtem5GaohTC1o9HTTFtK7_)) - [CS 224d - Deep Learning for Natural Language Processing, Stanford University](http://cs224d.stanford.edu/syllabus.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLCJlDcMjVoEdtem5GaohTC1o9HTTFtK7_))
- [CS 224N - Natural Language Processing, Stanford University](https://www.youtube.com/playlist?list=PLgtM85Maly3n2Fp1gJVvqb0bTC39CPn1N) - [CS 224N - Natural Language Processing, Stanford University](https://www.youtube.com/playlist?list=PLgtM85Maly3n2Fp1gJVvqb0bTC39CPn1N)
- [MOOC - Natural Language Processing, Dan Jurafsky & Chris Manning - Coursera](https://www.youtube.com/playlist?list=PL6397E4B26D00A269) - [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) - [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) - [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)) - [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 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)
@ -367,18 +357,15 @@ Courses
- [Reinforcement Learning - IIT Madras](http://nptel.ac.in/courses/106106143/) - [Reinforcement Learning - IIT Madras](http://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/) - [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)
------------------------------ ------------------------------
### Computer Networks ### Computer Networks
- [14-740 - Fundamentals of Computer Networks, Spring 2017 - CMU](http://www.ini740.com/S17/index.html#videos) - [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) - [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)) - [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 - 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/)) - [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/) - [Computer Networks - IIT Kharagpur](http://nptel.ac.in/courses/106105081/)
@ -423,6 +410,7 @@ Courses
- [MOOC - Statistics One - Coursera](https://www.youtube.com/playlist?list=PLycnP7USbo1V3jlyjAzWUB201cLxPq4NP) - [MOOC - Statistics One - Coursera](https://www.youtube.com/playlist?list=PLycnP7USbo1V3jlyjAzWUB201cLxPq4NP)
- [Probability and Random Processes - IIT Kharagpur](http://nptel.ac.in/courses/117105085/) - [Probability and Random Processes - IIT Kharagpur](http://nptel.ac.in/courses/117105085/)
- [MOOC - Statistical Inference - Coursera](https://www.youtube.com/playlist?list=PLgIPpm6tJZoSvrYM54BUqJJ4CWrYeGO40) - [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) - [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) - [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) - [STATS 250 - Introduction to Statistics and Data Analysis, UMichigan](https://www.youtube.com/playlist?list=PL432AB57AF9F43D4F)
@ -463,7 +451,7 @@ Courses
### Theoretical CS and Programming Languages ### 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 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 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)) - [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))
@ -602,7 +590,7 @@ Courses
- [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)) - [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))
- [Computational Geometry - IIT Delhi](http://nptel.ac.in/courses/106102011/) - [Computational Geometry - IIT Delhi](http://nptel.ac.in/courses/106102011/)
- [CS 468 - Differential Geometry for Computer Science - Stanford University](http://graphics.stanford.edu/courses/cs468-13-spring/schedule.html)
------- -------

Write Preview
Loading…
Cancel
Save