# Deep-learning-books **Repository Path**: artint7/Deep-learning-books ## Basic Information - **Project Name**: Deep-learning-books - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2024-09-19 - **Last Updated**: 2024-09-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 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. [AutoML Machine Learning-Methods, Systems, Challenges-2018.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/AutoML%20Machine%20Learning-Methods%2C%20Systems%2C%20Challenges-2018.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 Python-Francois_Chollet-中文-Python深度学习-2018.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Deep%20Learning%20with%20Python-Francois_Chollet-%E4%B8%AD%E6%96%87-Python%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0-2018.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. [Elements of Statistical Learning-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Elements%20of%20Statistical%20Learning-2017.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. [Hands on Machine Learning with Scikit Learn Keras and TensorFlow 2nd Edition-2019.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Hands%20on%20Machine%20Learning%20with%20Scikit%20Learn%20Keras%20and%20TensorFlow%202nd%20Edition-2019.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 Generative Adversarial Networks-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Learning%20Generative%20Adversarial%20Networks-2017.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. [Tensorflow实战Google深度学习框架-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/Tensorflow%E5%AE%9E%E6%88%98Google%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%A1%86%E6%9E%B6-2017.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) 1. [深度学习入门之PyTorch-2017.pdf](1.%20Machine%20Leaning%20and%20Deep%20Learning/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8%E4%B9%8BPyTorch-2017.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. [Learning PySpark-2017.pdf](2.%20Python%20Books/Learning%20PySpark-2017.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. [An introduction to optimization-4th-edition-2013.pdf](3.%20Math%20Books/An%20introduction%20to%20optimization-4th-edition-2013.pdf) 1. [Convex Optimization-2009.pdf](3.%20Math%20Books/Convex%20Optimization-2009.pdf) 1. [Introduction to Applied Linear Algebra-2018.pdf](3.%20Math%20Books/Introduction%20to%20Applied%20Linear%20Algebra-2018.pdf) 1. [Introduction to Linear Algebra-5th edition-2016.pdf](3.%20Math%20Books/Introduction%20to%20Linear%20Algebra-5th%20edition-2016.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. [凸优化-中文版-2013.pdf](3.%20Math%20Books/%E5%87%B8%E4%BC%98%E5%8C%96-%E4%B8%AD%E6%96%87%E7%89%88-2013.pdf) 1. [数学分析教程-常庚哲_史济怀-上册-2003.pdf](3.%20Math%20Books/%E6%95%B0%E5%AD%A6%E5%88%86%E6%9E%90%E6%95%99%E7%A8%8B-%E5%B8%B8%E5%BA%9A%E5%93%B2_%E5%8F%B2%E6%B5%8E%E6%80%80-%E4%B8%8A%E5%86%8C-2003.pdf) 1. [数学分析教程-常庚哲_史济怀-下册-2003.pdf](3.%20Math%20Books/%E6%95%B0%E5%AD%A6%E5%88%86%E6%9E%90%E6%95%99%E7%A8%8B-%E5%B8%B8%E5%BA%9A%E5%93%B2_%E5%8F%B2%E6%B5%8E%E6%80%80-%E4%B8%8B%E5%86%8C-2003.pdf) 1. [最优化导论-第四版-2015.pdf](3.%20Math%20Books/%E6%9C%80%E4%BC%98%E5%8C%96%E5%AF%BC%E8%AE%BA-%E7%AC%AC%E5%9B%9B%E7%89%88-2015.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) 1. [高等代数学习指导书.丘维声.上册-2005.pdf](3.%20Math%20Books/%E9%AB%98%E7%AD%89%E4%BB%A3%E6%95%B0%E5%AD%A6%E4%B9%A0%E6%8C%87%E5%AF%BC%E4%B9%A6.%E4%B8%98%E7%BB%B4%E5%A3%B0.%E4%B8%8A%E5%86%8C-2005.pdf) 1. [高等代数学习指导书.丘维声·下册-2009.pdf](3.%20Math%20Books/%E9%AB%98%E7%AD%89%E4%BB%A3%E6%95%B0%E5%AD%A6%E4%B9%A0%E6%8C%87%E5%AF%BC%E4%B9%A6.%E4%B8%98%E7%BB%B4%E5%A3%B0%C2%B7%E4%B8%8B%E5%86%8C-2009.pdf) 1. [高等代数（上）丘维声-2010.pdf](3.%20Math%20Books/%E9%AB%98%E7%AD%89%E4%BB%A3%E6%95%B0%EF%BC%88%E4%B8%8A%EF%BC%89%E4%B8%98%E7%BB%B4%E5%A3%B0-2010.pdf) 1. [高等代数（下）丘维声-2010.pdf](3.%20Math%20Books/%E9%AB%98%E7%AD%89%E4%BB%A3%E6%95%B0%EF%BC%88%E4%B8%8B%EF%BC%89%E4%B8%98%E7%BB%B4%E5%A3%B0-2010.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. [Neural Transfer Learning for Natural Language Processing-Sebastian Ruder-2019.pdf](4.%20NLP%20Books/Neural%20Transfer%20Learning%20for%20Natural%20Language%20Processing-Sebastian%20Ruder-2019.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) 1. [自然语言处理综论-2005.pdf](4.%20NLP%20Books/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E7%BB%BC%E8%AE%BA-2005.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) ## 7. Speech Processing 1. [Automatic Speech Recognition-解析深度学习语音识别实践-中文-2016.pdf](7.%20Speech%20Processing/Automatic%20Speech%20Recognition-%E8%A7%A3%E6%9E%90%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E8%AF%AD%E9%9F%B3%E8%AF%86%E5%88%AB%E5%AE%9E%E8%B7%B5-%E4%B8%AD%E6%96%87-2016.pdf) 1. [Automatic Speech Recognition_A Deep Learning Approach-2015.pdf](7.%20Speech%20Processing/Automatic%20Speech%20Recognition_A%20Deep%20Learning%20Approach-2015.pdf) 1. [Spoken Language Processing-2001.pdf](7.%20Speech%20Processing/Spoken%20Language%20Processing-2001.pdf) 1. [离散时间信号处理_第3版_中文-2015.pdf](7.%20Speech%20Processing/%E7%A6%BB%E6%95%A3%E6%97%B6%E9%97%B4%E4%BF%A1%E5%8F%B7%E5%A4%84%E7%90%86_%E7%AC%AC3%E7%89%88_%E4%B8%AD%E6%96%87-2015.pdf) 1. [离散时间语音信号处理：原理与应用-中文-2004.pdf](7.%20Speech%20Processing/%E7%A6%BB%E6%95%A3%E6%97%B6%E9%97%B4%E8%AF%AD%E9%9F%B3%E4%BF%A1%E5%8F%B7%E5%A4%84%E7%90%86%EF%BC%9A%E5%8E%9F%E7%90%86%E4%B8%8E%E5%BA%94%E7%94%A8-%E4%B8%AD%E6%96%87-2004.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)