AI入門課程資源

buildFuture()發表於2019-01-09

企業

  kaggle

  https://www.kaggle.com/learn/overview

  Google   介紹

  https://developers.google.cn/machine-learning/crash-course/

  GFW內視訊

  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

  http://www.mooc.ai/course/562

 

網紅

  《神經網路與深度學習》  Michael Nielsen 

  http://neuralnetworksanddeeplearning.com/ 

  中文版   中文版pdf

  fast.ai

  https://course.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

  https://github.com/Avik-Jain/100-Days-Of-ML-Code

相關文章