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August 14, 2020

Free Data Science eBooks – September 2020

Looking for FREE Data Science books? Then you're in the right place.

Every month we feature 3 of the best free books on a variety of Data Science topics, from programming in R and Python to Statistics, Machine Learning and lots more.

These free books might be time limited (or not), and you'll find them in a variety of formats, from both top-tier publishers and self-published authors.

If you want to be the first to know when our monthly free books post is out, subscribe to our newsletter - we have a huge back-catalogue of titles for you to browse through!

This month we highlight these 3 books:

  • Artificial Intelligence for Big Data
  • Modeling with Data
  • Computational and Inferential Thinking

They're all FREE, so help yourselves...

More...

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

3 Free Data Science Books September 2020

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Artificial Intelligence For Big Data

Anand Deshpande and Manish Kumar

Create smart systems to extract intelligent insights for decision making. You will learn about widely used Artificial Intelligence techniques for carrying out solutions in a production-ready environment. You'll explore advanced topics such as clustering, symbolic and sub-symbolic information representation, and many more.

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Modeling with Data

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. 

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Computational and Inferential Thinking

Ani Adhikari and John DeNero

Computational and Inferential Thinking is an introductory text for data science that explores foundational concepts in data processing and statistics using modern programming tools. Ideas are illustrated by real-world data sets and examples.

While rigorous in presentation, this text does not expect prior experience in computing, calculus, or linear algebra.

Related Books

Related Udemy Video Courses

Below are a few related Udemy courses that we recommend. They are by no means the only ones - there are LOADS more, and if these don't tickle your fancy, just click through. I'm sure you'll find something that does.

*NOTE - the prices listed below are the full price, and are not automatically updated when a sale is on. If you want to find out the sale price (often around 10 £/$/Euro), just click through!

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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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