企业
kaggle
https://www.kaggle.com/learn/overview
Google 介绍
https://developers.google.cn/machine-learning/crash-course/
微软
https://school.azure.cn/curriculums/28（暂不可用）
https://aischool.microsoft.com/en-us/machine-learning/learning-paths
https://academy.microsoft.com/en-us/professional-program/tracks/data-science/
亚马逊AWS
https://amazonaws-china.com/cn/training/learning-paths/machine-learning/?nc1=h_ls
学院
吴恩达机器学习
https://study.163.com/course/introduction/1004570029.htm
吴恩达 deeplearning.ai 神经网络和深度学习
https://mooc.study.163.com/course/2001281002?_trace_c_p_k2_=d15f1572a13f4c02b0ee86e9fd1d2d2f#/info
斯坦福吴恩达深度学习 介绍
https://web.stanford.edu/class/cs230/
斯坦福计算机视觉
https://study.163.com/course/introduction/1004697005.htm
http://vision.stanford.edu/teaching/cs231n/
CMU深度学习
网红
《神经网络与深度学习》 Michael Nielsen
http://neuralnetworksanddeeplearning.com/
fast.ai
Oleksii Trekhleb 介绍
https://github.com/trekhleb/homemade-machine-learning
TensorFlow 介绍
https://github.com/open-source-for-science/TensorFlow-Course#why-use-tensorflow
PracticalAI 介绍
https://github.com/GokuMohandas/practicalAI/
Avik-Jain