Machine Learning Books

Foundations

Machine Learning

• Learning From Data
• The Hundred-Page Machine Learning Book
• Pattern Recognition and Machine Learning

Deep Learning

• Grokking Deep Learning
• Deep Learning

Reinforcement Learning

• Reinforcement Learning: An Introduction (2nd Edition)

Practices

Programming

• Hands-On Machine Learning with Scikit-Learn and TensorFlow
• Deep Learning with Python
• Deep Reinforcement Learning Hands-On

Guideline

• Machine Learning Yearning
• Interpretable Machine Learning

Deep Thoughts

• The Book of Why
• Hinton: GOOGLE’S AI GURU WANTS COMPUTERS TO THINK MORE LIKE BRAINS
• Yoshua Bengio访谈笔记：用意识先验糅合符号主义与联结主义

NLP

General Overview

• Advice for beginner (初入NLP领域的一些小建议)

• NLP的巨人肩膀 (from word2vec to BERT)

• The 4 Biggest Open Problems in NLP

• NLP Future directions of MSRA

• Text Classification Tricks

• 奇点已过？聊聊BERT之后的NLP时代

• Bert时代的创新（应用篇）：Bert在NLP各领域的应用进展

• NLP progress

• Neural Transfer Learning for Natural Language Processing

• NLP Courses

  • CMU: Neural Networks for NLP

  • Stanford: Natural Language Processing with Deep Learning

  • Berkeley: Applied Natural Language Processing

Books

• 数学之美

• Speech and Language Processing (3rd ed. draft)

• Introduction to Information Retrieval

Blogs

• Google AI

• Facebook AI

• NLP newsletter by Ruder

• Model visualization by Jay

• Deep learning model by Lilian

• Neural network introduction by Colah

• Andrej Karpathy blog