这里我们收集了15套顶级研究人员发布的机器学习的课程和教程。 其中包含了9个有视频演讲的课程。 大多数的课程都是免费的，并且不需要注册（当然是英文滴）。主要内容包含了决策树，逻辑递归，神经网络和深度学习， 预测， 支持核心方法， 集群， 非监督性学习和学习理论等等
如果你需要来了解一下机器学习的各种背景信息， 卡耐基梅隆大学的Geoff Gordon教授提供了很多超棒的视频资源 - 机器学习数据背景
Introduction to Neural Networks and Machine Learning
Geoffrey E. Hinton. University of Toronto. 2014
This course includes video lectures
Machine Learning
Ruslan Salakhutdinov. Carnegie Mellon University, Director of AI Research at Apple. This course was taught at University of Toronto. 2015
Machine Learning and Pattern Recognition
Yann LeCun. New York University, Director of AI Research at Facebook 2010
Learning from Data
Yaser S. Abu-Mostafa. California Institute of Technology. 2012
This course includes video lectures
Machine Learning
Kilian Weinberger. Cornell. 2017
Mobile friendly lecture notes
Machine Learning
Andrew Ng. Stanford University via Coursera. Founder of Coursera. 2017
This course includes video lectures
Neural Networks for Machine Learning
Geoffrey Hinton. University of Toronto via Coursera. 2017
This course includes video lectures. This is the newer version of his 2014 course
Machine Learning and Adaptive Intelligence
Neil Lawrence. University of Sheffield, Director of Machine Learning at Amazon. 2015
This course includes video lectures
Intro to Neural Networks and Machine Learning
Roger Grosse. University of Toronto. 2017
Information Theory, Pattern Recognition, and Neural Networks
David J. C. MacKay. University of Cambridge via Videolectures.
This course includes video lectures
Machine Learning
Tom Mitchell and Maria-Florina Balcan. Carnegie Mellon University. 2015
This course includes video lectures
Machine Learning
Michael Littman, Charles Isbell, and Pushkar Kolhe. Georgia Institute of Technology via Udacity. 2017
This course includes video lectures
Introduction to Machine Learning
Sargur Srihari. University at Buffalo. 2017
Machine Learning - Nano Degree
Arpan Chakraborty, David Joyner, Luis Serrano, Sebastian Thrun, Vincent Vanhoucke, and Katie Malone. Udacity. 2017
This course includes video lectures
Tutorial: Machine Learning
Andrew Moore. Dean of School of Computer Science at Carnegie Mellon University.
