The fields of Machine learning and Artificial Intelligence have been hitting the headlines for the past years, and readers follow the developments of some of the world’s largest tech businesses, such as Google, Amazon, and Microsoft create products employing the latest techniques. Who could not be inspired by the developments of ChatGPT 3.5 and now ChatGPT 4.0? Machine Learning is the field that deals with the statistics and algorithms that drive these exciting developments.
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. So no matter what your starting level is, there should be something for everyone here.
Introductory Machine Learning Books
We put together a collection of books to 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, it 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 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. It is ideal if you want easy access to 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.
Machine Learning Books II
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 the Financial Times Business Book of the Year. Hear experts’ 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. This has now become a total classic and a widely referenced book as it contains much of the thesis of Nick’s arguments.
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 shaping the twenty-first century and beyond.
