README.md · SCM/Deep-learning-books

# Books for Machine Learning, Deep Learning, and related topics
## 1. Machine Leaning and Deep Learning
1. [A First Course in Machine Learning-2012.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/A%20First%20Course%20in%20Machine%20Learning-2012.pdf)
1. [Building Machine Learning Systems with Python-2nd Edition-2015.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Building%20Machine%20Learning%20Systems%20with%20Python-2nd%20Edition-2015.pdf)
1. [Data Mining, Inference, and Prediction-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Data%20Mining%2C%20Inference%2C%20and%20Prediction-2017.pdf)
1. [Data Science from Scratch- First Principles with Python-2015.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Data%20Science%20from%20Scratch-%20First%20Principles%20with%20Python-2015.pdf)
1. [Deep Learning with Keras-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning%20with%20Keras-2017.pdf)
1. [Deep Learning with Python A Hands-on Introduction-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning%20with%20Python%20A%20Hands-on%20Introduction-2017.pdf)
1. [Deep Learning With Python-Develop Deep Learning Models on Theano and TensorFlow Using Keras-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning%20With%20Python-Develop%20Deep%20Learning%20Models%20on%20Theano%20and%20TensorFlow%20Using%20Keras-2017.pdf)
1. [Deep Learning with Python-Francois_Chollet-En-2018.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning%20with%20Python-Francois_Chollet-En-2018.pdf)
1. [Deep Learning with Tensorflow-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning%20with%20Tensorflow-2017.pdf)
1. [Deep Learning-EPFL EE559-2019](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning-EPFL%20EE559-2019)
1. [Deep Learning-Josh Patterson & Adam Gibson-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning-Josh%20Patterson%20%26%20Adam%20Gibson-2017.pdf)
1. [Deep_Learning-Ian_Goodfellow-En-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep_Learning-Ian_Goodfellow-En-2016.pdf)
1. [Deep_Learning-Ian_Goodfellow-中文-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep_Learning-Ian_Goodfellow-%E4%B8%AD%E6%96%87-2017.pdf)
1. [Deep_Learning-台大李宏毅-En-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep_Learning-%E5%8F%B0%E5%A4%A7%E6%9D%8E%E5%AE%8F%E6%AF%85-En-2016.pdf)
1. [Designing Machine Learning Systems with Python-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Designing%20Machine%20Learning%20Systems%20with%20Python-2016.pdf)
1. [Foundations of Data Science-2018.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Foundations%20of%20Data%20Science-2018.pdf)
1. [Fundamentals of Deep Learning-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Fundamentals%20of%20Deep%20Learning-2017.pdf)
1. [Gaussian Processes for Machine Learning-2006.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Gaussian%20Processes%20for%20Machine%20Learning-2006.pdf)
1. [Hands on Machine Learning with Scikit Learn and TensorFlow-En-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Hands%20on%20Machine%20Learning%20with%20Scikit%20Learn%20and%20TensorFlow-En-2017.pdf)
1. [Hands on Machine Learning with Scikit Learn and TensorFlow-中文-机器学习实用指南-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Hands%20on%20Machine%20Learning%20with%20Scikit%20Learn%20and%20TensorFlow-%E4%B8%AD%E6%96%87-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E7%94%A8%E6%8C%87%E5%8D%97-2017.pdf)
1. [Introduction to Machine Learning with Python-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Introduction%20to%20Machine%20Learning%20with%20Python-2016.pdf)
1. [Introduction to Machine Learning-sencond-edition-EN-2010.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Introduction%20to%20Machine%20Learning-sencond-edition-EN-2010.pdf)
1. [Learning TensorFlow-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Learning%20TensorFlow-2017.pdf)
1. [Machine Learning for OpenCV-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Machine%20Learning%20for%20OpenCV-2017.pdf)
1. [Machine Learning in Action-EN-2012.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Machine%20Learning%20in%20Action-EN-2012.pdf)
1. [Machine Learning in Action-中文-2012.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Machine%20Learning%20in%20Action-%E4%B8%AD%E6%96%87-2012.pdf)
1. [Machine Learning in Python-2015.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Machine%20Learning%20in%20Python-2015.pdf)
1. [Machine Learning with Python Scikit-Learn-2015.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Machine%20Learning%20with%20Python%20Scikit-Learn-2015.pdf)
1. [Machine Learning Yearning-Andrew Ng-2018.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Machine%20Learning%20Yearning-Andrew%20Ng-2018.pdf)
1. [Machine Learning-A Probabilistic Perspective-2012.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Machine%20Learning-A%20Probabilistic%20Perspective-2012.pdf)
1. [Mastering Feature Engineering-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Mastering%20Feature%20Engineering-2016.pdf)
1. [Mastering Machine Learning with scikit-learn-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Mastering%20Machine%20Learning%20with%20scikit-learn-2017.pdf)
1. [MATLAB Machine Learning by Michael Paluszek-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/MATLAB%20Machine%20Learning%20by%20Michael%20Paluszek-2017.pdf)
1. [Pattern Recognition And Machine Learning _中文-马春鹏-2014.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Pattern%20Recognition%20And%20Machine%20Learning%20_%E4%B8%AD%E6%96%87-%E9%A9%AC%E6%98%A5%E9%B9%8F-2014.pdf)
1. [Pattern Recognition And Machine Learning-EN-2006.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Pattern%20Recognition%20And%20Machine%20Learning-EN-2006.pdf)
1. [Practical Machine Learning with H2O-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Practical%20Machine%20Learning%20with%20H2O-2016.pdf)
1. [Practical Machine Learning-A New Look at Anomaly Detection-2014.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Practical%20Machine%20Learning-A%20New%20Look%20at%20Anomaly%20Detection-2014.pdf)
1. [Pro Deep Learning with TensorFlow-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Pro%20Deep%20Learning%20with%20TensorFlow-2017.pdf)
1. [Python Machine Learning-2015.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Python%20Machine%20Learning-2015.pdf)
1. [Python Real World Machine Learning - Prateek Joshi-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Python%20Real%20World%20Machine%20Learning%20-%20Prateek%20Joshi-2016.pdf)
1. [Tensorflow for Deep Learning Research-Stanford CS 20-2018](1.%20Machine%20Leaning%20and%20Deep%20Learning/Tensorflow%20for%20Deep%20Learning%20Research-Stanford%20CS%2020-2018)
1. [Tensorflow Machine Learning Cookbook-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Tensorflow%20Machine%20Learning%20Cookbook-2017.pdf)
1. [机器学习(西瓜书)_周志华-中文-2016.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%28%E8%A5%BF%E7%93%9C%E4%B9%A6%29_%E5%91%A8%E5%BF%97%E5%8D%8E-%E4%B8%AD%E6%96%87-2016.pdf)
## 2. Python Books
1. [Learn Python The Hard Way 3rd Edition-2014.pdf](2.%20Python%20Books/Learn%20Python%20The%20Hard%20Way%203rd%20Edition-2014.pdf)
1. [Python Data Analytics-2015.pdf](2.%20Python%20Books/Python%20Data%20Analytics-2015.pdf)
1. [SciPy and NumPy-2012.pdf](2.%20Python%20Books/SciPy%20and%20NumPy-2012.pdf)
1. [Scipy Lecture Notes-2015.pdf](2.%20Python%20Books/Scipy%20Lecture%20Notes-2015.pdf)
1. [Understanding GIL-2010.pdf](2.%20Python%20Books/Understanding%20GIL-2010.pdf)
## 3. Math Books
1. [Introduction to Applied Linear Algebra-2018.pdf](3.%20Math%20Books/Introduction%20to%20Applied%20Linear%20Algebra-2018.pdf)
1. [Mathematics and Computation-2018.pdf](3.%20Math%20Books/Mathematics%20and%20Computation-2018.pdf)
1. [Mathematics for Machine Learnin-2017.pdf](3.%20Math%20Books/Mathematics%20for%20Machine%20Learnin-2017.pdf)
1. [Mathematics for machine learning-2017.pdf](3.%20Math%20Books/Mathematics%20for%20machine%20learning-2017.pdf)
1. [Mathematics for Machine Learning-2019](3.%20Math%20Books/Mathematics%20for%20Machine%20Learning-2019)
1. [MIT18_657_Mathematics of Machine Learning-2015.pdf](3.%20Math%20Books/MIT18_657_Mathematics%20of%20Machine%20Learning-2015.pdf)
1. [The Matrix Cookbook-2012.pdf](3.%20Math%20Books/The%20Matrix%20Cookbook-2012.pdf)
1. [贝叶斯网引论-张连文-2006.pdf](3.%20Math%20Books/%E8%B4%9D%E5%8F%B6%E6%96%AF%E7%BD%91%E5%BC%95%E8%AE%BA-%E5%BC%A0%E8%BF%9E%E6%96%87-2006.pdf)
## 4. NLP Books
1. [Applied Text Analysis with Python-2016.pdf](4.%20NLP%20Books/Applied%20Text%20Analysis%20with%20Python-2016.pdf)
1. [Natural Language Processing with Python-2009.pdf](4.%20NLP%20Books/Natural%20Language%20Processing%20with%20Python-2009.pdf)
1. [Natural Language Processing with Python.pdf](4.%20NLP%20Books/Natural%20Language%20Processing%20with%20Python.pdf)
1. [Natural Language Processing-2018.pdf](4.%20NLP%20Books/Natural%20Language%20Processing-2018.pdf)
1. [Natural Language Understanding with Distributed Representation-2017.pdf](4.%20NLP%20Books/Natural%20Language%20Understanding%20with%20Distributed%20Representation-2017.pdf)
1. [NLTK Essentials-2015.pdf](4.%20NLP%20Books/NLTK%20Essentials-2015.pdf)
1. [oxford-cs-deepnlp-2017](4.%20NLP%20Books/oxford-cs-deepnlp-2017)
1. [Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from your Data-2016.pdf](4.%20NLP%20Books/Text%20Analytics%20with%20Python%20A%20Practical%20Real-World%20Approach%20to%20Gaining%20Actionable%20Insights%20from%20your%20Data-2016.pdf)
1. [The Text Mining HandBook-2007.pdf](4.%20NLP%20Books/The%20Text%20Mining%20HandBook-2007.pdf)
## 5. Computer Vision (CV) Book
1. [Learning Image Processing with OpenCV-2015.pdf](5.%20Computer%20Vision%20%28CV%29%20Book/Learning%20Image%20Processing%20with%20OpenCV-2015.pdf)
## 6. Reinforcement Learning Books
1. [An Introduction to Deep Reinforcement Learning-2018.pdf](6.%20Reinforcement%20Learning%20Books/An%20Introduction%20to%20Deep%20Reinforcement%20Learning-2018.pdf)
1. [Dissecting Reinforcement Learning-2016](6.%20Reinforcement%20Learning%20Books/Dissecting%20Reinforcement%20Learning-2016)
1. [Reinforce Learning-An introduction, 2nd edition-2018.pdf](6.%20Reinforcement%20Learning%20Books/Reinforce%20Learning-An%20introduction%2C%202nd%20edition-2018.pdf)
## cheatsheets
1. [bokeh-cheatsheet.pdf](cheatsheets/bokeh-cheatsheet.pdf)
1. [cheatsheet-deep-learning.pdf](cheatsheets/cheatsheet-deep-learning.pdf)
1. [cheatsheet-machine-learning-tips-and-tricks.pdf](cheatsheets/cheatsheet-machine-learning-tips-and-tricks.pdf)
1. [cheatsheet-supervised-learning.pdf](cheatsheets/cheatsheet-supervised-learning.pdf)
1. [cheatsheet-unsupervised-learning.pdf](cheatsheets/cheatsheet-unsupervised-learning.pdf)
1. [keras-cheatsheet.pdf](cheatsheets/keras-cheatsheet.pdf)
1. [linearAlgebra-cheatsheet.pdf](cheatsheets/linearAlgebra-cheatsheet.pdf)
1. [matplotlib-cheatsheet.pdf](cheatsheets/matplotlib-cheatsheet.pdf)
1. [notebook-cheatsheet.pdf](cheatsheets/notebook-cheatsheet.pdf)
1. [numpy-cheatsheet.pdf](cheatsheets/numpy-cheatsheet.pdf)
1. [pandas-cheatsheet.pdf](cheatsheets/pandas-cheatsheet.pdf)
1. [refresher-algebra-calculus.pdf](cheatsheets/refresher-algebra-calculus.pdf)
1. [refresher-probabilities-statistics.pdf](cheatsheets/refresher-probabilities-statistics.pdf)
1. [super-cheatsheet-machine-learning.pdf](cheatsheets/super-cheatsheet-machine-learning.pdf)
## Download Mirrors
* [Dropbox镜像](https://www.dropbox.com/sh/x25apu3vpxfry3c/AABGDLqTTkMkPuey_boL56dma?dl=0)

* [百度云镜像](https://pan.baidu.com/s/1Hn9Vu2LvTk-WthQhHtdJUA)（提取码:vy3v）

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

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