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.
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.
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
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.
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.
Superintelligence: Paths, Dangers, Strategies
Author: Nick Bostrom
Explore and understand what Artificial Intelligence might do for us.
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.
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.