June 1

Free Data Science eBooks – June 2017

Ebooks, Blog, Resources

0  comments

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

More...

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

If you haven't subscribed to our newsletter yet, why not subscribe using the form on the right - you'll be the very first to know when new resources are published.

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 were free to download at the time of posting 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.


Tags

artificial intelligence, free ebooks, python


You may also like

Awesome Gifts for Data Scientists

3 Types of Neural Networks Explained

How to Learn Python for Data Science

The Best Statistics Courses Online – Our Picks

The Best Data Science Courses Online

Computational Statistics is the New Holy Grail – Experts

Data Ethics – Top 3 Books for Data Scientists

3 Essential Python Books for Data Science

Top 3 Books on Statistics for Data Science

3 Crucial Tips for Data Processing and Analysis

Free Must-Read Statistics Books for Aspiring Data Scientists

Correlation Is Not Causation – Pirates Prove It!

Fantastic Free Data Science Books for Aspiring Data Scientists

21 Inspiring Books to Get Started in Data Science

4 Types of Data in Statistics – Definitions, Uses & Examples

Nominal Ordinal Interval Ratio Measurement Scales Compared

{"email":"Email address invalid","url":"Website address invalid","required":"Required field missing"}
__CONFIG_group_edit__{}__CONFIG_group_edit__
__CONFIG_local_colors__{"colors":{"4ceba":"Royal Blue"},"gradients":{}}__CONFIG_local_colors__

Machine Learning Models:

The Big Picture

FREE Ultra HD pdf

Download your FREE mind map to learn about the different types of ML models in Machine Learning.

__CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"b8c9c":{"name":"Main Accent","parent":-1}},"gradients":[]},"palettes":[{"name":"Default Palette","value":{"colors":{"b8c9c":{"val":"rgb(255, 255, 255)"}},"gradients":[]},"original":{"colors":{"b8c9c":{"val":"rgb(19, 114, 211)","hsl":{"h":210,"s":0.83,"l":0.45}}},"gradients":[]}}]}__CONFIG_colors_palette__
Get it Now !!!
Do NOT follow this link or you will be banned from the site!