Source: Deep Learning on Medium
# this is just a short bookmark list of free books about machine learning and some data science i found recently
The Hundred-Page Machine Learning Book
Supervised and unsupervised learning, support vector machines, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning! Math, intuition, illustrations, all in just a hundred pages!
Mathematics for Machine Learning
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Mathematical foundations and example machine learning algorithms that use the mathematical foundations.
Dive into Deep Learning
Astan Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
An interactive deep learning book with code, math, and discussions
Machine Learning Yearning
This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. Some technical AI classes will give you a hammer; this book teaches you how to use the hammer. If you aspire to be a technical leader in AI and want to learn how to set direction for your team, this book will help.
Algorithms for Reinforcement Learning
Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective.
Ian Goodfellow, Yoshua Bengio and Aaron Courville
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
.. to be continued