ML Books Compilation

Repository of books that I have been collecting about machine learning, deep learning, data science, and more...

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Deep Learning		Deep Learning
Python Books		Python Books
Statistics, Data Science and Data Analysis		Statistics, Data Science and Data Analysis
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron (2019).pdf		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron (2019).pdf
Introduction to Machine Learning with Python (2017).pdf		Introduction to Machine Learning with Python (2017).pdf
Machine Learning Refined Foundations, Algorithms, and Applications (2016).pdf		Machine Learning Refined Foundations, Algorithms, and Applications (2016).pdf
Machine Learning with TensorFlow by Nishant Shukla with Kenneth Fricklas (2018).pdf		Machine Learning with TensorFlow by Nishant Shukla with Kenneth Fricklas (2018).pdf
Mastering Machine Learning with Scikit-Learn by Gavin Hackeling (2014).pdf		Mastering Machine Learning with Scikit-Learn by Gavin Hackeling (2014).pdf
Mathematics For Machine Learning (2020).pdf		Mathematics For Machine Learning (2020).pdf
Natural Language Processing with PyTorch (2019).pdf		Natural Language Processing with PyTorch (2019).pdf
Pattern Recognition And Machine Learning by Christopher M. Bishop (2006).pdf		Pattern Recognition And Machine Learning by Christopher M. Bishop (2006).pdf
Python Machine Learning by Wei-Meng Lee (2019).pdf		Python Machine Learning by Wei-Meng Lee (2019).pdf
README.md		README.md

Provide feedback