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

Mathematics

Essence of linear algebra, [YouTube].
Linear Algebra by Terence Tao (UCLA), [homepage].
Linear Algebra Done Right (线性代数应该这样学), [book], [Chinese version book].
Introduction to Linear Algebra (线性代数及其应用), [homepage], [book].
Linear Algebra and Its Applications, [book], [Chinese version book].
Convex Optimization, [book], [Chinese version book], [homepage].
Probabilistic Graphical Models: Principles and Techniques, [book], [homepage].

CS229: Machine Learning, Stanford University, [url].
Multiple Kernel Learning Algorithms, [paper].
Pattern Recognition and Machine Learning, [book], [Chinese version book], [solutions].
Machine Learning: A Probabilistic Perspective, [book].
机器学习 (周志华), [Chinese version book].
统计学习方法 (李航), [Chinese version book].
Data Mining: Practical Machine Learning Tools and Techniques, [book].

Neural Networks for NLP, Carnegie Mellon University (CMU) CS 11-747, [url].
CS231n: Convolutional Neural Networks for Visual Recognition, Stanford University, [url].
CS224n: Natural Language Processing with Deep Learning, Stanford University, [url].
CS6101: Deep Learning for NLP, National University of Singapore, [url].
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].
Handbook of Knowledge Representation, [book].
Deep Learning for NLP without Magic, [slides].
A Primer on Neural Network Models for Natural Language Processing, [book].
GANs in Action, [online book], sources: [GANs-in-Action/gans-in-action].
Deep Learning on Graphs, [homepage], [all in one].

University College London (UCL) Course on Reinforcement Learning (RL), [url].
MIT 6.S099: Artificial General Intelligence, Massachusetts Institute of Technology, [url].
fast.ai: Making neural nets uncool again, [url], [Ultimate guide to setting up a Google Cloud machine for fast.ai].
Reinforcement Learning: An Introduction, [book].

TensorFlow Machine Learning Cookbook, [book], sources: [nfmcclure/tensorflow_cookbook].
TensorFlow技术解析与实战, [Chineve version book], sources: [greatgeekgrace/Technical-Analysis-And-Practice-in-TensorFlow].
Python机器学习及实践, [Chinese version book], sources: [NobiGo/-MachineLearningStudy].
Hands on Machine Learning with Scikit Learn and TensorFlow, [book], sources: [ageron/handson-ml].
Python Machine Learning, [book], sources: [rasbt/python-machine-learning-book].
Python for Data Analysis, [book], [Chinese version book], sources: [wesm/pydata-book].
Fundamentals of Deep Learning, sources: [darksigma/Fundamentals-of-Deep-Learning-Book].
Natural Language Processing with Python, [book].
Learning Spark: Lightning-Fast Data Analysis, sources: [databricks/learning-spark].
Advanced Analytics with Spark, sources: [sryza/aas].

Java 8 in Action, [book], [Chinese version book], sources: [java8/Java8InAction].
Java Cookbook 3rd Edition, [book].
Coding Interview in Java, [book].
Effective Java 3rd Edition, [book], sources: [jbloch/effective-java-3e-source-code].
Scala Cookbook, [book].
Programming in Scala 3rd Edition, [book].
Scala in Depth, [book], sources: [jsuereth/scala-in-depth-source].
Scala for the Impatient, [book].
Python Cookbook 3rd Edition, [book], [Chinese Online Readings].
用Python写网络爬虫, [Chinese version book].
Web Scraping with Python: Collecting Data from the Morden Web, [book], [book1].
Core Python Application Programming 3rd Edition (Python核心编程第三版), [book], [Chinese version book].
数据结构与算法-Python语言描述(裘宗燕), [Chinese version book].
Algorithms Tutorialhorizon, [homepage].