Featured by Tableau as the first of “7 Books About Machine Learning for Beginners.”

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add ‘Machine Learning’ to your LinkedIn profile?

Well, hold on there…

Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.

This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.

New Updated Edition

This new edition also features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition. Readers of the Second Edition should not feel compelled to purchase this Third Edition.

Disclaimer: If you have passed the ‘beginner’ stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment – as a fully grown Simba looking over the Pride Lands of Africa – then this is the book to gently hoist you up and give a clear lay of the land.

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