(1) Berkeley深度学习专题课程:https://berkeley-deep-learning.github.io/cs294-dl-f16/html
(2)stanford基于于深度学习的天然语言处理(有视频):https://www.youtube.com/watch?v=sU_Yu_USrNcgit
相关的做业:https://github.com/bogatyy/cs224dgithub
(3)由CMU的Larry Wasserman 主讲的统计机器学习(有视频):http://www.stat.cmu.edu/~larry/=sml/spring
(4)CMU的Convex Optimization: http://www.stat.cmu.edu/~ryantibs/convexopt/机器学习
(5))CMU的Probabilistic Graphical Models: https://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html学习
(6)MIT的 Advanced Data Structures http://courses.csail.mit.edu/6.851/spring12/lectures/视频
(7)htm
汉诺丁大学的泛函分析:http://open.163.com/special/opencourse/fanhanfenxi.htmlci