From 7c7e5c3c2a8b32b6a08b56381b80d661f6f7af4b Mon Sep 17 00:00:00 2001 From: mundher Date: Wed, 18 Jan 2017 19:13:38 +0800 Subject: [PATCH 1/9] Added "MIT 6.S094: Deep Learning for Self-Driving Cars" which updated weekly --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 79726d6..869edce 100644 --- a/README.md +++ b/README.md @@ -308,6 +308,7 @@ Courses - [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm) - **Deep Learning** - [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu) + - [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)) - [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) From 4d036a020c6d246866cf9c98838d694adf221957 Mon Sep 17 00:00:00 2001 From: mundher Date: Wed, 25 Jan 2017 20:17:59 +0800 Subject: [PATCH 2/9] Added "CS294-112, Deep Reinforcement Learning Sp17" --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 869edce..52829e4 100644 --- a/README.md +++ b/README.md @@ -310,6 +310,7 @@ Courses - [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu) - [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://uwaterloo.ca/data-science/deep-learning) From 0226a8f90c571c4fbe0b1e19a6273e2b8c676005 Mon Sep 17 00:00:00 2001 From: mundher Date: Sat, 28 Jan 2017 17:14:27 +0800 Subject: [PATCH 3/9] added "Foundations of Machine Learning Boot Camp" --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f75cb05..366469b 100644 --- a/README.md +++ b/README.md @@ -261,6 +261,7 @@ Courses - **Introduction to Machine Learning** - [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) - [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html) - [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)) From da9ea4bf0480e58e3b85d86f8460a2201398b854 Mon Sep 17 00:00:00 2001 From: mundher Date: Thu, 2 Feb 2017 22:25:17 +0800 Subject: [PATCH 4/9] Added "CS 156" Added "CS 156CS155 2017 Machine Learning & Data Mining - Caltech 2016 & 2017" --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 37110a3..644ff99 100644 --- a/README.md +++ b/README.md @@ -263,6 +263,7 @@ Courses - [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) - [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html) + - [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) From c523b55fb44a71724eaa572fd9736ded42d8023b Mon Sep 17 00:00:00 2001 From: mundher Date: Wed, 8 Feb 2017 12:53:16 +0800 Subject: [PATCH 5/9] Added "Deep Learning for Natural Language Processing 2016/2017 - Oxford" --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3049866..c2f6eda 100644 --- a/README.md +++ b/README.md @@ -318,6 +318,7 @@ Courses - [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) + - [Deep Learning for Natural Language Processing 2016/2017 - Oxford](https://github.com/oxford-cs-deepnlp-2017/lectures) - [MOOC - Neural Networks for Machine Learning, Geoffrey Hinton 2016 - Coursera](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9) - [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)) From c2fbf1e34d41f0ec6bc3e863b8272c90fe723b64 Mon Sep 17 00:00:00 2001 From: mundher Date: Sat, 11 Feb 2017 23:19:49 +0800 Subject: [PATCH 6/9] added "Statistics One" --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3049866..1e76288 100644 --- a/README.md +++ b/README.md @@ -409,6 +409,7 @@ Courses - [MOOC - Statistics: Making Sense of Data, Coursera](http://academictorrents.com/details/a0cbaf3e03e0893085b6fbdc97cb6220896dddf2) - [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) From 20127f1002b7427c48f62751831624cc29ac5934 Mon Sep 17 00:00:00 2001 From: mundher Date: Mon, 13 Feb 2017 17:45:57 +0800 Subject: [PATCH 7/9] added "Waterloo 2017 courses on Classification and visualization" --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 786a49a..a698c24 100644 --- a/README.md +++ b/README.md @@ -270,6 +270,7 @@ Courses - [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) - [CS 229 - Machine Learning - Stanford University](https://see.stanford.edu/Course/CS229) + - [Winter 2017 STAT 441 / 841 Classification, Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG) - [CS 189/289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley](https://people.eecs.berkeley.edu/~jrs/189/) - [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) @@ -343,6 +344,7 @@ Courses - [Natural Language Processing - IIT Bombay](http://nptel.ac.in/courses/106101007/) - **Misc Machine Learning Topics** - [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI) + - [Winter 2017, STAT 442 / 842 Data Visualization, Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK) - [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)) - [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/) - [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page) From a5c5ef579657e93d1416cf08e18a6dd638b6098f Mon Sep 17 00:00:00 2001 From: mundher Date: Mon, 13 Feb 2017 17:59:41 +0800 Subject: [PATCH 8/9] added "Waterloo Classification and visualization" Waterloo Classification and visualization 2017 --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 786a49a..a0eb403 100644 --- a/README.md +++ b/README.md @@ -259,6 +259,7 @@ Courses ### Machine Learning - **Introduction to Machine Learning** + - [Winter 2017 STAT 441 / 841 Classification, Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG) - [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) @@ -342,6 +343,7 @@ Courses - [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](http://nptel.ac.in/courses/106101007/) - **Misc Machine Learning Topics** + - [Winter 2017, STAT 442 / 842 Data Visualization, Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK) - [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)) - [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/) From de57287debc1df14a030807af3889ddbc317d7ef Mon Sep 17 00:00:00 2001 From: mundher Date: Tue, 21 Feb 2017 16:02:41 +0800 Subject: [PATCH 9/9] added "Machine Learning and Adaptive Intelligence" --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a0eb403..95f58d4 100644 --- a/README.md +++ b/README.md @@ -259,6 +259,7 @@ Courses ### Machine Learning - **Introduction to Machine Learning** + - [COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16](http://inverseprobability.com/mlai2015/) - [Winter 2017 STAT 441 / 841 Classification, Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG) - [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/)