Books for Machine Learning, Deep Learning, and related topics

1. Machine Leaning and Deep Learning

1. A First Course in Machine Learning-2012.pdf
2. Building Machine Learning Systems with Python-2nd Edition-2015.pdf
3. Data Mining, Inference, and Prediction-2017.pdf
4. Data Science from Scratch- First Principles with Python-2015.pdf
5. Deep Learning with Keras-2017.pdf
6. Deep Learning with Python A Hands-on Introduction-2017.pdf
7. Deep Learning With Python-Develop Deep Learning Models on Theano and TensorFlow Using Keras-2017.pdf
8. Deep Learning with Python-Francois_Chollet-En-2018.pdf
9. Deep Learning with Tensorflow-2017.pdf
10. Deep Learning-EPFL EE559-2019
11. Deep Learning-Josh Patterson & Adam Gibson-2017.pdf
12. Deep_Learning-Ian_Goodfellow-En-2016.pdf
13. Deep_Learning-Ian_Goodfellow-中文-2017.pdf
14. Deep_Learning-台大李宏毅-En-2016.pdf
15. Designing Machine Learning Systems with Python-2016.pdf
16. Foundations of Data Science-2018.pdf
17. Fundamentals of Deep Learning-2017.pdf
18. Gaussian Processes for Machine Learning-2006.pdf
19. Hands on Machine Learning with Scikit Learn and TensorFlow-En-2017.pdf
20. Hands on Machine Learning with Scikit Learn and TensorFlow-中文-机器学习实用指南-2017.pdf
21. Introduction to Machine Learning with Python-2016.pdf
22. Introduction to Machine Learning-sencond-edition-EN-2010.pdf
23. Learning TensorFlow-2017.pdf
24. Machine Learning for OpenCV-2017.pdf
25. Machine Learning in Action-EN-2012.pdf
26. Machine Learning in Action-中文-2012.pdf
27. Machine Learning in Python-2015.pdf
28. Machine Learning with Python Scikit-Learn-2015.pdf
29. Machine Learning Yearning-Andrew Ng-2018.pdf
30. Machine Learning-A Probabilistic Perspective-2012.pdf
31. Mastering Feature Engineering-2016.pdf
32. Mastering Machine Learning with scikit-learn-2017.pdf
33. MATLAB Machine Learning by Michael Paluszek-2017.pdf
34. Pattern Recognition And Machine Learning _中文-马春鹏-2014.pdf
35. Pattern Recognition And Machine Learning-EN-2006.pdf
36. Practical Machine Learning with H2O-2016.pdf
37. Practical Machine Learning-A New Look at Anomaly Detection-2014.pdf
38. Pro Deep Learning with TensorFlow-2017.pdf
39. Python Machine Learning-2015.pdf
40. Python Real World Machine Learning - Prateek Joshi-2016.pdf
41. Tensorflow for Deep Learning Research-Stanford CS 20-2018
42. Tensorflow Machine Learning Cookbook-2017.pdf
43. 机器学习(西瓜书)_周志华-中文-2016.pdf

2. Python Books

1. Learn Python The Hard Way 3rd Edition-2014.pdf
2. Python Data Analytics-2015.pdf
3. SciPy and NumPy-2012.pdf
4. Scipy Lecture Notes-2015.pdf
5. Understanding GIL-2010.pdf

3. Math Books

1. Introduction to Applied Linear Algebra-2018.pdf
2. Mathematics and Computation-2018.pdf
3. Mathematics for Machine Learnin-2017.pdf
4. Mathematics for machine learning-2017.pdf
5. Mathematics for Machine Learning-2019
6. MIT18_657_Mathematics of Machine Learning-2015.pdf
7. The Matrix Cookbook-2012.pdf
8. 贝叶斯网引论-张连文-2006.pdf

4. NLP Books

1. Applied Text Analysis with Python-2016.pdf
2. Natural Language Processing with Python-2009.pdf
3. Natural Language Processing with Python.pdf
4. Natural Language Processing-2018.pdf
5. Natural Language Understanding with Distributed Representation-2017.pdf
6. NLTK Essentials-2015.pdf
7. oxford-cs-deepnlp-2017
8. Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from your Data-2016.pdf
9. The Text Mining HandBook-2007.pdf

5. Computer Vision (CV) Book

1. Learning Image Processing with OpenCV-2015.pdf

6. Reinforcement Learning Books

1. An Introduction to Deep Reinforcement Learning-2018.pdf
2. Dissecting Reinforcement Learning-2016
3. Reinforce Learning-An introduction, 2nd edition-2018.pdf

cheatsheets

1. bokeh-cheatsheet.pdf
2. cheatsheet-deep-learning.pdf
3. cheatsheet-machine-learning-tips-and-tricks.pdf
4. cheatsheet-supervised-learning.pdf
5. cheatsheet-unsupervised-learning.pdf
6. keras-cheatsheet.pdf
7. linearAlgebra-cheatsheet.pdf
8. matplotlib-cheatsheet.pdf
9. notebook-cheatsheet.pdf
10. numpy-cheatsheet.pdf
11. pandas-cheatsheet.pdf
12. refresher-algebra-calculus.pdf
13. refresher-probabilities-statistics.pdf
14. super-cheatsheet-machine-learning.pdf

Others

You are welcome to submit your books by submitting Pull Requests, thx.