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January 31, 2020

Free Data Science eBooks – February 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:

  • Natural Language Processing with Python
  • Clever Algorithms
  • Getting DataOps Right

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 ebooks for February 2020

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By Steven Bird, Ewan Klein, and Edward Loper

Natural Language Processing with Python

Technologies based on NLP are becoming increasingly widespread. For example, phones and handheld computers support predictive text and handwriting recognition; web search engines give access to information locked up in unstructured text; machine translation allows us to retrieve texts written in Chinese and read them in Spanish; text analysis enables us to detect sentiment in tweets and blogs. By providing more natural human-machine interfaces, and more sophisticated access to stored information, language processing has come to play a central role in the multilingual information society.

This book provides a highly accessible introduction to the field of NLP. It can be used for individual study or as the textbook for a course on natural language processing or computational linguistics, or as a supplement to courses in artificial intelligence, text mining, or corpus linguistics. The book is intensely practical, containing hundreds of fully-worked examples and graded exercises


​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!


By Jason Brownlee PhD

Clever algorithms

This book will teach you how to get started with Genetic Algorithms, Neural Networks and Swarm Intelligence. 

The algorithms described in this work are practical, interesting, and fun, and the goal of this project was to promote these features by making algorithms from the field more accessible, usable, and understandable. This project was developed over a number years through a lot of writing, discussion, and revision. This book has been released under a permissive license that encourages the reader to explore new and creative ways of further communicating its message and content.


​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!


By Andy Palmer et al

Getting Data Ops Right

DataOps is as much about changing people’s relationship to data as it is about technology, infrastructure, and process. This report provides an organizational approach to implementing this discipline in your company—including various behavioral, process, and technology changes.

Through individual essays, you’ll learn how to:

  • Move toward scalable data unification (Michael Stonebraker)
  • Understand DataOps as a discipline (Nik Bates-Haus)
  • Explore the key principles of a DataOps ecosystem (Andy Palmer)
  • Learn the key components of a DataOps ecosystem (Andy Palmer)
  • Build a DataOps toolkit (Liam Cleary)
  • Build a team and prepare for future trends (Mark Marinelli)

​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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