分享15个机器学习的在线教程和课程

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

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 LittmanCharles 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.



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