Ten Free Machine Learning Books.

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  1. Understanding Machine Learning: From Theory To Algorithms

This book authored by Shai Shalev is a great addition to your machine learning books. It offers great introduction to machine learning. it is recommended for students, non-expert readers in statistics, computer science, mathematics and engineering. The book covers both theory and practical machine learning concepts. Every chapter opens with a great theoretical summary that will give you a clear sense of what you expect to achieve.

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2) Mathematics for Machine Learning A.Aldo

This could be one of the best books if you are seeking to learn mathematics for machine learning. It teaches you mathematical concepts in machine learning with a minimum prerequisites. it provides extensive coverage on linear algebra, calculus and probability theory. it is useful for both as a tutorial for the beginners and as a reference text for machine learning researchers and engineers. Every chapter in this book has worked out examples and exercises which you can use to test your understanding. All the programming tutorials are available in the book’s website and you can check them out.

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3) Machine Learning Yearning Andrew Ng

 

This book helps you learn to become a technical leader in AI by learning how to make ML algorithms work. The idea of this book is not to teach you ML algorithms, but rather help ensure that they work for you.

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4) Mining of Massive datasets Jura Leskovic

The book is based on the Stanford Computer Science course CS246: Mining Massive Datasets (and CS345A: Data Mining). The book & course are both designed for undergraduate computer science majors and the content is without any formal prerequisites.

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5) Bayesian Reasoning and Machine Learning David Barber

This book is valuable in understanding of machine learning and it will give  will give you a proper examples of machine learning in action. I think this hands-off text is perfect for computer science students with limited mathematical knowledge.

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6) Python Machine Learning Projects

This book will guide to setup a Python programming environment and a conceptual understanding of machine learning. there are several Python projects that will help you create a machine learning classifier, build a neural network that recognizes handwritten digits, and it will also  provide you an understanding of reinforcement learning.

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7) Deep Learning with PyTorch Eli Stevens

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8) Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics Justin Solomon

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9) A Course in Machine Learning 

 

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10) Foundations of Machine Learning Mehryar

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