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The Master Algorithm
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Table of Contents

1. The Machine Learning Revolution 2. The Master Algorithm 3. Hume's Problem of Induction 4. How Does Your Brain Learn? 5. Evolution: Nature's Learning Algorithm 6. In the Church of the Reverend Bayes 7. You Are What You Resemble 8. Learning Without a Teacher 9. The Pieces of the Puzzle Fall into Place 10. This Is the World on Machine Learning

About the Author

Pedro Domingos is a professor of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honour in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.

Reviews

"Domingos writes with verve and passion, and the book has a strong narrative." --New Scientist "[The Master Algorithm] opens the doorway to a world many of us never see or think about, though it has a tremendous impact on our daily lives." --Shelf Awareness for Readers "[The Master Algorithm] does a good job of examining the field's five main techniques...The subject is meaty and the author...has a knack for introducing concepts at the right moment." --The Economist "Wonderfully erudite, humorous, and easy to read." --KDNuggets "Domingos is a genial and amusing guide, who sneaks us around the backstage areas of the science in order to witness the sometimes personal (and occasionally acrimonious) tenor of research on the subject in recent decades... This is a highly inclusive book, aimed at a wide range of readers from the merely curious to those who might be interested in pursuing a career in the field. Descriptions and discussions are presented with a commendable lack of jargon and the examples are clear and accessible." --Times Higher Education "An exhilarating venture into groundbreaking computer science." --Booklist, starred review "Machine learning, known in commercial use as predictive analytics, is changing the world. This riveting, far-reaching, and inspiring book introduces the deep scientific concepts to even non-technical readers, and yet also satisfies experts with a fresh, profound perspective that reveals the most promising research directions. It's a rare gem indeed." --Eric Siegel, founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die "With terms like 'Machine Learning' and 'Big Data' regularly making headlines, there is no shortage of hype-filled business books on the subject. There are also textbooks that are too technical to be accessible. For those in the middle--from executives to college students--this is the ideal book, showing how and why things really work without the heavy math. Unlike other books that proclaim a bright future, this one actually gives you what you need to understand the changes that are coming." --Peter Norvig, Director of Research, Google and coauthor of Artificial Intelligence: A Modern Approach "Starting with the audacious claim that all knowledge can be derived from data by a single 'master algorithm,' Domingos takes the reader on a fast-paced journey through the brave new world of machine learning. Writing breezily but with deep authority, Domingos is the perfect tour guide from whom you will learn everything you need to know about this exciting field, and a surprising amount about science and philosophy as well." --Duncan Watts, Principal Researcher, Microsoft Research, and author of Six Degrees and Everything Is Obvious *Once You Know the Answer "The holy grail of computer science is a machine that can teach itself, as we humans do, from experience. Machine learning could help us do everything from curing cancer to building humanoid robots. Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be." --Walter Isaacson, author of Steve Jobs and The Innovators "[An] enthusiastic but not dumbed-down introduction to machine learning... lucid and consistently informative... With wit, vision, and scholarship, Domingos describes how these scientists are creating programs that allow a computer to teach itself. Readers...will discover fascinating insights." --Kirkus Reviews "This book is a sheer pleasure, mixed with education. I am recommending it to all my students, those who studied machine learning, those who are about to do it and those who are about to teach it. The author succeeds not only in presenting an accurate and entertaining journey through the methodological ideas behind machine learning but also in embedding those ideas in a colorful tapestry of philosophical questions concerning the ultimate capacity of man to emulate itself. A must read for both realists and futurists." --Judea Pearl, Professor of Computer Science, UCLA and winner of the A. M. Turing Award

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