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Mathematics, Machine Learning, Deep Learning, Reinforcement Learning and Coding Resources

Linear Algebra

Machine Learning

Deep Learning for CV and NLP

  • Neural Networks for NLP, Carnegie Mellon University (CMU) CS 11-747, [url].
  • CS231n: Convolutional Neural Networks for Visual Recognition, Stanford University, [url].
  • CS224d: Deep Learning for Natural Language Processing, Stanford University, [url].
  • CS6101: Deep Learning for NLP, National University of Singapore, [url].
  • CS224n: Natural Language Processing with Deep Learning, Stanford University, [url], [YouTube], [Chinese notes].
  • Unsupervised Feature Learning and Deep Learning (UFLDL) Tutorial, Stanford University, [url], [another url], [Chinese].
  • Theories of Deep Learning (STATS 385), Stanford University, [url], [YouTube].
  • Deep Learning Tutorial, 李宏毅 (Hung-yi Lee), [slides], [Hung-yi Lee homepage].
  • Deep Learning Tutorial, LISA lab, University of Montreal, [docs].
  • On the Origin of Deep Learning, [paper].
  • Derivatives Backpropagation and Vectorization, [lecture notes].
  • Deep Learning, [book], [Chinese version book], [homepage].
  • Speech and Language Processing, [webside].
  • Sentic Computing, [book].
  • Handbook of Knowledge Representation, [book].
  • Deep Learning for NLP without Magic, [slides].
  • A Primer on Neural Network Models for Natural Language Processing, [book].

Reinforcement Learning

Coding Books for Machine Learning and Data Analysis

Coding

Others