The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World Reprint Edition

4.3 out of 5 stars 725 ratings
ISBN-13: 978-0465094271
ISBN-10: 0465094279
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Editorial Reviews

Review

"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 impressive and wide-ranging work that covers everything from the history of machine learning to the latest technical advances in the field."―Daily Beast

"Domingos writes with verve and passion."―New Scientist

"Unlike other books that proclaim a bright future, this one actually gves you what you need to understand the changes that are coming."―Peter Norvig, Director of Research, Google andcoauthor of Artificial Intelligence: A Modern Approach

"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 sience 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 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

"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."―Times Higher Education

"An exhilarating venture into groundbreaking computer science."Booklist, starred review

"[An] enthusiastic but not dumbed-down introduction to machine learning...lucid and consistently informative.... With wit, vision, and scholarship, Domingos decribes how these scientists are creating programs that allow a computer to teach itself. Readers...will discover fascinating insights."
Kirkus Reviews

"This book is a must have to learn machine learning without equation. It will help you get the big picture of the several learning paradigms. Finally, the provocative idea is not only intriguing, but also very well argued."―Data Mining Research

"If you are interested in a crash course on the enigmatic field of machine learning and the challenges for AI practitioners that lie ahead, this book is a great read."―TechCast Global

"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."―Judea Pearl, professor of computer science, UCLA and winner of the A. M. Turing Award

"Machine learning is the single most transformative technology that will shape our lives over the next fifteen years. This book is a must-read--a bold and beautifully written new framework for looking into the future."―Geoffrey Moore, author of Crossing the Chasm

"Machine learning is a fascinating world never before glimpsed by outsiders. Pedro Domingos initiates you to the mysterious languages spoken by its five tribes, and invites you to join in his plan to unite them, creating the most powerful technology our civilization has ever seen."―Sebastian Seung, professor, Princeton, and author of Connectome

"A delightful book by one of the leading experts in the field. If you wonder how AI will change your life, read this book."―Sebastian Thrun, research professor, Stanford, Google Fellow and Inventor of the Self-Driving Car

"This is an incredibly important and useful book. Machine learning is already critical to your life and work, and will only become more so. Finally, Pedro Domingos has written about it in a clear and understandable fashion."―Thomas H. Davenport, Distinguished Professor, Babson College and author of Competing on Analytics and Big Data @ Work span

"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

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 honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.


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Product details

  • Publisher ‏ : ‎ Basic Books; Reprint edition (February 13, 2018)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 352 pages
  • ISBN-10 ‏ : ‎ 0465094279
  • ISBN-13 ‏ : ‎ 978-0465094271
  • Item Weight ‏ : ‎ 10.2 ounces
  • Dimensions ‏ : ‎ 5.45 x 1.2 x 8.25 inches
  • Customer Reviews:
    4.3 out of 5 stars 725 ratings

Customer reviews

4.3 out of 5 stars
4.3 out of 5
725 global ratings
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Top reviews from the United States

Reviewed in the United States on November 10, 2015
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68 people found this helpful
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Reviewed in the United States on July 14, 2016
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37 people found this helpful
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Reviewed in the United States on September 1, 2019
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8 people found this helpful
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Top reviews from other countries

SimpleSimon
5.0 out of 5 stars Poorly edited but very valuable book
Reviewed in the United Kingdom on December 11, 2020
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2 people found this helpful
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kazordoon
4.0 out of 5 stars The current state of Machine Learning
Reviewed in the United Kingdom on April 28, 2019
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2 people found this helpful
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Fluff
2.0 out of 5 stars Had been really looking forward to this book, but once I'd started, I just wanted to get it over with. Very frustrating read.
Reviewed in the United Kingdom on November 27, 2015
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116 people found this helpful
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Martin Bodocky
5.0 out of 5 stars Great summary where we are right now with AI overtaking the world.
Reviewed in the United Kingdom on November 21, 2016
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7 people found this helpful
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Jonathan McKendry
3.0 out of 5 stars Not a good starting point for the lay person
Reviewed in the United Kingdom on October 23, 2020
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