Free Data Science Books from Springer

Original article was published on Deep Learning on Medium

Free Data Science Books from Springer

If you want to learn data science for free, now is the perfect time.

We’re living in these amazing times when access to education is easier than ever. In most cases you just need an access to the Internet, in order to start learning. Recently Springer backed global education trends and released various books for free. In this article I take a look at books about data science or directly related to it: machine learning, deep learning, statistics, linear algebra.

Learn Data Science for free — see Data Science Rush for more materials.

There are plenty of resources to learn data science and if you’re looking particularly for books, now Springer made free some of them. If you want to know more about what are the best books on data science, read this text. Let’s now cover free Springer books on data science, machine learning and mathematics.

Free Data Science Books

The following list of free books from Springer are all about data science. I’ll cover mathematical books and machine learning books in further sections.

The Python Workbook by Ben Stephenson
Introduction to Data Science by Laura Igual, Santi Seguí
Data Structures and Algorithms with Python by Kent D. Lee, Steve Hubbard
Data Analysis by Siegmund Brandt

(but honestly, learn Python instead of R ;))

A Beginner’s Guide to R by Alain Zuur, Elena N. Ieno, Erik Meesters
Principles of Data Mining by Max Bramer
Data Mining by Charu C. Aggarwal
The Data Science Design Manual by Steven S. Skiena
Statistical Analysis and Data Display by Richard M. Heiberger, Burt Holland
Statistics and Data Analysis for Financial Engineering by David Ruppert, David S. Matteson

Free Machine Learning Books

Machine learning techniques allow you to go beyond statistics and simple data science. Here you can find free machine learning books from Springer.

An Introduction to Machine Learning by Miroslav Kubat
Introduction to Deep Learning by Sandro Skansi
Neural Networks and Deep Learning by Charu C. Aggarwal
Computer Vision by Richard Szeliski

Free Mathematics Books for Data Scientists

Mathematics is crucial for any aspiring or established Data Scientists. These are free math books for data scientists.

Introduction to Statistics and Data Analysis by Christian Heumann, Michael Schomaker, Shalabh
Guide to Discrete Mathematics by Gerard O’Regan
Linear Algebra Done Right by Sheldon Axler
Linear Algebra by Jörg Liesen, Volker Mehrmann
Understanding Analysis by Stephen Abbott
Understanding Statistics Using R by Randall Schumacker, Sara Tomek

What’s next for learning data science?

Those are the most relevant data science books which are available for free from Springer right now. So go ahead and start learning!

If you want more educational materials on data science, then have a look at:

Good luck with your data science career!