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 LearningGeoffrey E. Hinton. University of Toronto. 2014 This course includes video lectures Machine LearningRuslan Salakhutdinov. Carnegie Mellon University, Director of AI Research at Apple. This course was taught at University of Toronto. 2015 Machine Learning and Pattern RecognitionYann LeCun. New York University, Director of AI Research at Facebook 2010 Learning from DataYaser S. Abu-Mostafa. California Institute of Technology. 2012 This course includes video lectures Machine LearningKilian Weinberger. Cornell. 2017 Mobile friendly lecture notes Machine LearningAndrew Ng. Stanford University via Coursera. Founder of Coursera. 2017 This course includes video lectures Neural Networks for Machine LearningGeoffrey 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 IntelligenceNeil Lawrence. University of Sheffield, Director of Machine Learning at Amazon. 2015 This course includes video lectures Intro to Neural Networks and Machine LearningRoger Grosse. University of Toronto. 2017 Information Theory, Pattern Recognition, and Neural NetworksDavid J. C. MacKay. University of Cambridge via Videolectures. This course includes video lectures Machine LearningTom Mitchell and Maria-Florina Balcan. Carnegie Mellon University. 2015 This course includes video lectures Machine LearningMichael Littman, Charles Isbell, and Pushkar Kolhe. Georgia Institute of Technology via Udacity. 2017 This course includes video lectures Introduction to Machine LearningSargur Srihari. University at Buffalo. 2017 Machine Learning - Nano DegreeArpan Chakraborty, David Joyner, Luis Serrano, Sebastian Thrun, Vincent Vanhoucke, and Katie Malone. Udacity. 2017 This course includes video lectures Tutorial: Machine LearningAndrew Moore. Dean of School of Computer Science at Carnegie Mellon University. |
