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# Deep learning books | ||
## 1. Machine Leaning and Deep Learning | ||
* [A First Course in Machine Learning-2012.pdf](1. Machine Leaning and Deep Learning/A First Course in Machine Learning-2012.pdf) | ||
* [Building Machine Learning Systems with Python-2nd Edition-2015.pdf](1. Machine Leaning and Deep Learning/Building Machine Learning Systems with Python-2nd Edition-2015.pdf) | ||
* [Data Mining, Inference, and Prediction-2017.pdf](1. Machine Leaning and Deep Learning/Data Mining, Inference, and Prediction-2017.pdf) | ||
* [Data Science from Scratch- First Principles with Python-2015.pdf](1. Machine Leaning and Deep Learning/Data Science from Scratch- First Principles with Python-2015.pdf) | ||
* [Deep Learning with Keras-2017.pdf](1. Machine Leaning and Deep Learning/Deep Learning with Keras-2017.pdf) | ||
* [Deep Learning with Python A Hands-on Introduction-2017.pdf](1. Machine Leaning and Deep Learning/Deep Learning with Python A Hands-on Introduction-2017.pdf) | ||
* [Deep Learning With Python-Develop Deep Learning Models on Theano and TensorFlow Using Keras-2017.pdf](1. Machine Leaning and Deep Learning/Deep Learning With Python-Develop Deep Learning Models on Theano and TensorFlow Using Keras-2017.pdf) | ||
* [Deep Learning with Python-Francois_Chollet-En-2018.pdf](1. Machine Leaning and Deep Learning/Deep Learning with Python-Francois_Chollet-En-2018.pdf) | ||
* [Deep Learning with Tensorflow-2017.pdf](1. Machine Leaning and Deep Learning/Deep Learning with Tensorflow-2017.pdf) | ||
* [Deep Learning-EPFL EE559-2019](1. Machine Leaning and Deep Learning/Deep Learning-EPFL EE559-2019) | ||
* [Deep Learning-Josh Patterson & Adam Gibson-2017.pdf](1. Machine Leaning and Deep Learning/Deep Learning-Josh Patterson & Adam Gibson-2017.pdf) | ||
* [Deep_Learning-Ian_Goodfellow-En-2016.pdf](1. Machine Leaning and Deep Learning/Deep_Learning-Ian_Goodfellow-En-2016.pdf) | ||
* [Deep_Learning-Ian_Goodfellow-中文-2017.pdf](1. Machine Leaning and Deep Learning/Deep_Learning-Ian_Goodfellow-中文-2017.pdf) | ||
* [Deep_Learning-台大李宏毅-En-2016.pdf](1. Machine Leaning and Deep Learning/Deep_Learning-台大李宏毅-En-2016.pdf) | ||
* [Designing Machine Learning Systems with Python-2016.pdf](1. Machine Leaning and Deep Learning/Designing Machine Learning Systems with Python-2016.pdf) | ||
* [Foundations of Data Science-2018.pdf](1. Machine Leaning and Deep Learning/Foundations of Data Science-2018.pdf) | ||
* [Fundamentals of Deep Learning-2017.pdf](1. Machine Leaning and Deep Learning/Fundamentals of Deep Learning-2017.pdf) | ||
* [Gaussian Processes for Machine Learning-2006.pdf](1. Machine Leaning and Deep Learning/Gaussian Processes for Machine Learning-2006.pdf) | ||
* [Hands on Machine Learning with Scikit Learn and TensorFlow-En-2017.pdf](1. Machine Leaning and Deep Learning/Hands on Machine Learning with Scikit Learn and TensorFlow-En-2017.pdf) | ||
* [Hands on Machine Learning with Scikit Learn and TensorFlow-中文-机器学习实用指南-2017.pdf](1. Machine Leaning and Deep Learning/Hands on Machine Learning with Scikit Learn and TensorFlow-中文-机器学习实用指南-2017.pdf) | ||
* [Introduction to Machine Learning with Python-2016.pdf](1. Machine Leaning and Deep Learning/Introduction to Machine Learning with Python-2016.pdf) | ||
* [Introduction to Machine Learning-sencond-edition-EN-2010.pdf](1. Machine Leaning and Deep Learning/Introduction to Machine Learning-sencond-edition-EN-2010.pdf) | ||
* [Learning TensorFlow-2017.pdf](1. Machine Leaning and Deep Learning/Learning TensorFlow-2017.pdf) | ||
* [Machine Learning for OpenCV-2017.pdf](1. Machine Leaning and Deep Learning/Machine Learning for OpenCV-2017.pdf) | ||
* [Machine Learning in Action-EN-2012.pdf](1. Machine Leaning and Deep Learning/Machine Learning in Action-EN-2012.pdf) | ||
* [Machine Learning in Action-中文-2012.pdf](1. Machine Leaning and Deep Learning/Machine Learning in Action-中文-2012.pdf) | ||
* [Machine Learning in Python-2015.pdf](1. Machine Leaning and Deep Learning/Machine Learning in Python-2015.pdf) | ||
* [Machine Learning with Python Scikit-Learn-2015.pdf](1. Machine Leaning and Deep Learning/Machine Learning with Python Scikit-Learn-2015.pdf) | ||
* [Machine Learning Yearning-Andrew Ng-2018.pdf](1. Machine Leaning and Deep Learning/Machine Learning Yearning-Andrew Ng-2018.pdf) | ||
* [Machine Learning-A Probabilistic Perspective-2012.pdf](1. Machine Leaning and Deep Learning/Machine Learning-A Probabilistic Perspective-2012.pdf) | ||
* [Mastering Feature Engineering-2016.pdf](1. Machine Leaning and Deep Learning/Mastering Feature Engineering-2016.pdf) | ||
* [Mastering Machine Learning with scikit-learn-2017.pdf](1. Machine Leaning and Deep Learning/Mastering Machine Learning with scikit-learn-2017.pdf) | ||
* [MATLAB Machine Learning by Michael Paluszek-2017.pdf](1. Machine Leaning and Deep Learning/MATLAB Machine Learning by Michael Paluszek-2017.pdf) | ||
* [Pattern Recognition And Machine Learning _中文-马春鹏-2014.pdf](1. Machine Leaning and Deep Learning/Pattern Recognition And Machine Learning _中文-马春鹏-2014.pdf) | ||
* [Pattern Recognition And Machine Learning-EN-2006.pdf](1. Machine Leaning and Deep Learning/Pattern Recognition And Machine Learning-EN-2006.pdf) | ||
* [Practical Machine Learning with H2O-2016.pdf](1. Machine Leaning and Deep Learning/Practical Machine Learning with H2O-2016.pdf) | ||
* [Practical Machine Learning-A New Look at Anomaly Detection-2014.pdf](1. Machine Leaning and Deep Learning/Practical Machine Learning-A New Look at Anomaly Detection-2014.pdf) | ||
* [Pro Deep Learning with TensorFlow-2017.pdf](1. Machine Leaning and Deep Learning/Pro Deep Learning with TensorFlow-2017.pdf) | ||
* [Python Machine Learning-2015.pdf](1. Machine Leaning and Deep Learning/Python Machine Learning-2015.pdf) | ||
* [Python Real World Machine Learning - Prateek Joshi-2016.pdf](1. Machine Leaning and Deep Learning/Python Real World Machine Learning - Prateek Joshi-2016.pdf) | ||
* [Tensorflow for Deep Learning Research-Stanford CS 20-2018](1. Machine Leaning and Deep Learning/Tensorflow for Deep Learning Research-Stanford CS 20-2018) | ||
* [Tensorflow Machine Learning Cookbook-2017.pdf](1. Machine Leaning and Deep Learning/Tensorflow Machine Learning Cookbook-2017.pdf) | ||
* [机器学习(西瓜书)_周志华-中文-2016.pdf](1. Machine Leaning and Deep Learning/机器学习(西瓜书)_周志华-中文-2016.pdf) | ||
## 2. Python Books | ||
* [Learn Python The Hard Way 3rd Edition-2014.pdf](2. Python Books/Learn Python The Hard Way 3rd Edition-2014.pdf) | ||
* [Python Data Analytics-2015.pdf](2. Python Books/Python Data Analytics-2015.pdf) | ||
* [SciPy and NumPy-2012.pdf](2. Python Books/SciPy and NumPy-2012.pdf) | ||
* [Scipy Lecture Notes-2015.pdf](2. Python Books/Scipy Lecture Notes-2015.pdf) | ||
* [Understanding GIL-2010.pdf](2. Python Books/Understanding GIL-2010.pdf) | ||
## 3. Math Books | ||
* [Introduction to Applied Linear Algebra-2018.pdf](3. Math Books/Introduction to Applied Linear Algebra-2018.pdf) | ||
* [Mathematics and Computation-2018.pdf](3. Math Books/Mathematics and Computation-2018.pdf) | ||
* [Mathematics for Machine Learnin-2017.pdf](3. Math Books/Mathematics for Machine Learnin-2017.pdf) | ||
* [Mathematics for machine learning-2017.pdf](3. Math Books/Mathematics for machine learning-2017.pdf) | ||
* [Mathematics for Machine Learning-2019](3. Math Books/Mathematics for Machine Learning-2019) | ||
* [MIT18_657_Mathematics of Machine Learning-2015.pdf](3. Math Books/MIT18_657_Mathematics of Machine Learning-2015.pdf) | ||
* [The Matrix Cookbook-2012.pdf](3. Math Books/The Matrix Cookbook-2012.pdf) | ||
* [贝叶斯网引论-张连文-2006.pdf](3. Math Books/贝叶斯网引论-张连文-2006.pdf) | ||
## 4. NLP Books | ||
* [Applied Text Analysis with Python-2016.pdf](4. NLP Books/Applied Text Analysis with Python-2016.pdf) | ||
* [Natural Language Processing with Python-2009.pdf](4. NLP Books/Natural Language Processing with Python-2009.pdf) | ||
* [Natural Language Processing with Python.pdf](4. NLP Books/Natural Language Processing with Python.pdf) | ||
* [Natural Language Processing-2018.pdf](4. NLP Books/Natural Language Processing-2018.pdf) | ||
* [Natural Language Understanding with Distributed Representation-2017.pdf](4. NLP Books/Natural Language Understanding with Distributed Representation-2017.pdf) | ||
* [NLTK Essentials-2015.pdf](4. NLP Books/NLTK Essentials-2015.pdf) | ||
* [oxford-cs-deepnlp-2017](4. NLP Books/oxford-cs-deepnlp-2017) | ||
* [Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from your Data-2016.pdf](4. NLP Books/Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from your Data-2016.pdf) | ||
* [The Text Mining HandBook-2007.pdf](4. NLP Books/The Text Mining HandBook-2007.pdf) | ||
## 5. Computer Vision (CV) Book | ||
* [Learning Image Processing with OpenCV-2015.pdf](5. Computer Vision (CV) Book/Learning Image Processing with OpenCV-2015.pdf) | ||
## 6. Reinforcement Learning Books | ||
* [An Introduction to Deep Reinforcement Learning-2018.pdf](6. Reinforcement Learning Books/An Introduction to Deep Reinforcement Learning-2018.pdf) | ||
* [Dissecting Reinforcement Learning-2016](6. Reinforcement Learning Books/Dissecting Reinforcement Learning-2016) | ||
* [Reinforce Learning-An introduction, 2nd edition-2018.pdf](6. Reinforcement Learning Books/Reinforce Learning-An introduction, 2nd edition-2018.pdf) | ||
## cheatsheets | ||
* [bokeh-cheatsheet.pdf](cheatsheets/bokeh-cheatsheet.pdf) | ||
* [cheatsheet-deep-learning.pdf](cheatsheets/cheatsheet-deep-learning.pdf) | ||
* [cheatsheet-machine-learning-tips-and-tricks.pdf](cheatsheets/cheatsheet-machine-learning-tips-and-tricks.pdf) | ||
* [cheatsheet-supervised-learning.pdf](cheatsheets/cheatsheet-supervised-learning.pdf) | ||
* [cheatsheet-unsupervised-learning.pdf](cheatsheets/cheatsheet-unsupervised-learning.pdf) | ||
* [keras-cheatsheet.pdf](cheatsheets/keras-cheatsheet.pdf) | ||
* [linearAlgebra-cheatsheet.pdf](cheatsheets/linearAlgebra-cheatsheet.pdf) | ||
* [matplotlib-cheatsheet.pdf](cheatsheets/matplotlib-cheatsheet.pdf) | ||
* [notebook-cheatsheet.pdf](cheatsheets/notebook-cheatsheet.pdf) | ||
* [numpy-cheatsheet.pdf](cheatsheets/numpy-cheatsheet.pdf) | ||
* [pandas-cheatsheet.pdf](cheatsheets/pandas-cheatsheet.pdf) | ||
* [refresher-algebra-calculus.pdf](cheatsheets/refresher-algebra-calculus.pdf) | ||
* [refresher-probabilities-statistics.pdf](cheatsheets/refresher-probabilities-statistics.pdf) | ||
* [super-cheatsheet-machine-learning.pdf](cheatsheets/super-cheatsheet-machine-learning.pdf) | ||
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