Machine Learning Books

The fields of Machine learning and Artificial Intelligence has been hitting the headlines for the past years and readers follow the developments of some of the worlds largest tech businesses such as Google, Amazon, Microsoft build products employing the latest techniques.

Learn more about the techniques driving the modern world with the QZ book collection hand picked to help as many people understand the developments in Machine Learning and AI.

Introductory Machine Learning Books

We put together a collection of books that can help you bootstrap your knowledge of Machine Learning without wading through a whole series of thick textbooks.

The Hundred-Page Machine Learning Book

Author: Andriy Burkov

This has become a modern classic. As the title says, describes concepts of Machine Learning in less than 100 pages. This is still a textbook with lots of equations, but the idea is to be relevant to people who have a basic background in maths.

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Machine Learning For Absolute Beginners: A Plain English Introduction

Author: Oliver Theobald

For those who are literally starting from scratch. This machine learning book assumes that you know very little and explains concepts such as bias and variance in an easy to understand passion. Ideal if you want an easy access into the world of ML.

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Machine Learning Text Books

For those looking for more detailed understanding, we select recommended textbooks that can help understand key concepts, whether you want to read cover to cover or simply dip into sections.

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Author:  Aurelien Geron 

Recently published in October 2019, this book walks though ways of using popular ML tools Keras, Tensorflow and Scikit-Learn. Of course it doesn’t cover pytorch, but we won’t hold that against the Author.

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Machine Learning Halo Books

Books describing the implications of everything from Automation to Artificial General Intelligence. Learn about everything from cultural impact to impact on the workforce.

Architects of Intelligence: The truth about AI from the people building it

Author: Martin Ford

Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year. Hear from experts their predictions about AI, such as the founders of Google DeepMind.

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Superintelligence: Paths, Dangers, Strategies

Author: Nick Bostrom

Explore and understand what Artificial Intelligence might do for us.

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Life 3.0: Being Human in the Age of Artificial Intelligence

Author: Max Tegmark

One of Obama’s favourite books of 2018. Wander through the issues facing us in the near future with AI.

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Homo Deus: A Brief History of Tomorrow

Author: Yuval Noah Harari

No Book collection is complete without this sitting on your bookshelf. Related, not just to AI, but the future. Homo Deus explores the projects, dreams and nightmares that will shape the twenty-first century and beyond.

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