企業
kaggle
https://www.kaggle.com/learn/overview
Google 介紹
https://developers.google.cn/machine-learning/crash-course/
微軟
https://school.azure.cn/curriculums/28(暫不可用)
https://aischool.microsoft.com/en-us/machine-learning/learning-paths
https://academy.microsoft.com/en-us/professional-program/tracks/data-science/
亞馬遜AWS
https://amazonaws-china.com/cn/training/learning-paths/machine-learning/?nc1=h_ls
學院
吳恩達機器學習
https://study.163.com/course/introduction/1004570029.htm
吳恩達 deeplearning.ai 神經網路和深度學習
https://mooc.study.163.com/course/2001281002?_trace_c_p_k2_=d15f1572a13f4c02b0ee86e9fd1d2d2f#/info
史丹佛吳恩達深度學習 介紹
https://web.stanford.edu/class/cs230/
史丹佛計算機視覺
https://study.163.com/course/introduction/1004697005.htm
http://vision.stanford.edu/teaching/cs231n/
CMU深度學習
網紅
《神經網路與深度學習》 Michael Nielsen
http://neuralnetworksanddeeplearning.com/
fast.ai
Oleksii Trekhleb 介紹
https://github.com/trekhleb/homemade-machine-learning
TensorFlow 介紹
https://github.com/open-source-for-science/TensorFlow-Course#why-use-tensorflow
PracticalAI 介紹
https://github.com/GokuMohandas/practicalAI/
Avik-Jain