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June 1, 2017

Free Data Science eBooks – June 2017

Every month we scour the internet seeking out free eBooks to help you on your educational journey, and this month has been no different.

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I hope these books prove to be a valuable resource to you and that you will visit regularly (and invite your friends too).

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3 Free Data Science Ebooks for June

This month, we have The Data Science Handbook, a Python programming book about how to think like a data scientist and one about Artificial Intelligence. They're all FREE, so no excuses why you shouldn't give them a go...

Disclosure: The FREE ebooks are free to download but other links in this post may contain affiliate links. As Amazon Associates we may earn from qualifying purchases.

​​You can find further details in our TCs

The Data Science Handbook

​by Carl Shan, Henry Wang, William Chen and Max Song

The Data Science Handbook is a compilation of in-depth interviews with 25 remarkable data scientists, where they share their insights, stories, and advice.

These 25 data scientists hail from a wide selection of backgrounds, disciplines, and industries.

Some of them, like DJ Patil and Hilary Mason, were part of the trailblazing wave of data scientists who catapulted the field into national attention.

Others are at the start of their careers, such as Clare Corthell, who made her own path to data science by creating the Open Source Data Science Masters, a self-guided curriculum built on freely available internet resources.

Think Python

​by Allen Downey

Think Python is an introduction to Python programming for beginners.

It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression.

Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.

Artificial Intelligence: Foundations and Computational Agents

​by David Poole and Alan Macworth

This is a book about the science of artificial intelligence (AI).

It presents artificial intelligence as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers. In the last decades we have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This book provides the first accessible synthesis of the field aimed at undergraduate and graduate students. It provides a coherent vision of the foundations of the field as it is today. It aims to provide that synthesis as an integrated science, in terms of a multi-dimensional design space that has been partially explored.

As with any science worth its salt, artificial intelligence has a coherent, formal theory and a rambunctious experimental wing. The book balances theory and experiment, showing how to link them intimately together. It develops the science of AI together with its engineering applications.

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Lee Baker is an award-winning software creator that lives behind a keyboard in a darkened room. Illuminated only by the light from his monitor, he aspires to finding the light switch. With decades of experience in science, statistics and artificial intelligence, he has a passion for telling stories with data, yet despite explaining it a dozen times, his mother still doesn’t understand what he does for a living. Insisting that data analysis is much simpler than we think it is, he creates friendly, easy-to-understand video courses that teach the fundamentals of data analysis and statistics. As the CEO of Chi-Squared Innovations, one day he’d like to retire to do something simpler, like crocodile wrestling.

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