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机器学习 Newbie 指南

基础理论

机器学习公开课

  1. 加州理工 cs156 - Introduction to Machine Learning - Yaser Abu-Mostafa
  2. 斯坦福 cs229 - Machine Learning - Andrew Ng.

数值优化公开课

  1. 斯坦福 ee364a - Convex Optimization - Stephen P. Boyd
  2. 斯坦福 ee364b - Convex Optimization - Stephen P. Boyd

通用工具集

编程工具大指南: https://github.com/josephmisiti/awesome-machine-learning

深度学习

公开课

  1. 台湾国立大学 Machine Learning and having it deep and structured 李宏毅

  2. e-Lab coursa - Deep Learning Course - Eugenio Culurciello

机器视觉

公开课

  1. 斯坦福 cs231n - Convolutional Neural Networks - 李飞飞

  2. e-Lab coursa - Artificial and robotic vision - Eugenio Culurciello

  3. 杜克 coursa - Digital Image procesing - Alireza Saberi

  4. 斯坦福 coursa - Probabilistic Graphical Models - Daphne Koller

Awesome!

  1. 编程工具大指南: https://github.com/josephmisiti/awesome-machine-learning
  2. RNN: https://github.com/kjw0612/awesome-rnn
  3. Deep-Vision: https://github.com/kjw0612/awesome-deep-vision

自然语言

公开课

  1. 斯坦福 cs224d - Deep learning for Natural Language Processing - Richard Socher

人工智能

基础理论

人工智能公开课

  1. 伯克利 cs188 - Artifical Intelligence - Dan Klein, Pieter Abbeel

通用工具集

  1. OpenAI: https://openai.com/

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