April 1

Free Data Science eBooks – April 2020

Ebooks, Blog, Resources

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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:

  • Foundations of Machine Learning
  • Learn Python, Break Python
  • Cloud Computing For Data Analysis

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 APRIL 2020

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Foundations of Machine Learning

By Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalka

This book is a general introduction to machine learning that can serve as a reference book for researchers and a textbook for students.

It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms.

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!

Learn Python, Break Python

Learn Python, Break Python is a hands-on introduction to the Python programming language, written for people who have no experience with programming whatsoever. Hey, we all have to start somewhere. As such, the examples and teaching style used in this text make absolutely no expectations about your prior programming experience.

If you've never used a programming language before, leaping into Python might seem a bit scary at first. You don't need to worry. Learning how to program a computer is far from impossible. Anyone can pick up the art of programming with a little time and a bit of patience.

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!

Cloud Computing for Data Analysis 1

By Noah Gift

This book is designed to give you a comprehensive view of cloud computing including Big Data and Machine Learning.

Many resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure) using Python.

This is a project-based book with extensive hands-on assignments.

Based on material taught at leading universities.

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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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.

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