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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World Paperback – Feb. 13 2018
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Recommended by Bill Gates
A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own
In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
- Print length352 pages
- LanguageEnglish
- PublisherBasic Books
- Publication dateFeb. 13 2018
- Dimensions13.84 x 3.05 x 20.96 cm
- ISBN-100465094279
- ISBN-13978-0465094271
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Review
"Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be."―Walter Isaacson, New York Times bestselling author of Steve Jobs, The Innovators, and The Code Breaker
"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, author of The Book of Why, and 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
Product details
- Publisher : Basic Books; Reprint edition (Feb. 13 2018)
- Language : English
- Paperback : 352 pages
- ISBN-10 : 0465094279
- ISBN-13 : 978-0465094271
- Item weight : 1.05 kg
- Dimensions : 13.84 x 3.05 x 20.96 cm
- Best Sellers Rank: #100,121 in Books (See Top 100 in Books)
- #6 in Computer Programming Logic
- #16 in Digital Electronics
- #23 in Mathematical & Statistical Software (Books)
- Customer Reviews:
About the author
Pedro Domingos is a leading AI researcher and the author of the worldwide bestseller "The Master Algorithm", an introduction to machine learning for a general audience. He is a professor of computer science at the University of Washington in Seattle. He won the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI, and is a Fellow of AAAS and AAAI. He has written for the Wall Street Journal, Scientific American, Wired, and others, and is a highly sought-after speaker.
Customer reviews
Customers say
Customers find the book provides an informative overview of the subject matter in a clear and easy-to-understand manner. They describe it as an amazing, intriguing read like the Da Vinci Code.
AI-generated from the text of customer reviews
Customers find the book provides an overview of the subject matter. They find it informative, descriptive, and well-written. The delivery of complex ideas is concise and clear, with good examples and original thinking. Readers appreciate the review of different design philosophies but don't expect to learn how to use them. Overall, the book helps improve AI culture.
"...So concise, so clear and clever! If you want to understand where we are in the AI research these days, READ THIS BOOK!..." Read more
"Enormously clever and quite well written. I was surprised at how good the book was, as I expected just another rehash of 'received ideas'...." Read more
"...Very descriptive and informative." Read more
"...on a wide variety of subject, it will give you an overview of the subject matter, but I am not so sure about it's intended audience." Read more
Customers find the book engaging and well-written. They describe it as an intriguing read like Da Vinci Code. The writing is clear and concise.
"...the Master Algorithm, but what I can tell you is that it reads like Da Vinci Code! It is full of humor and intrigue...." Read more
"Enormously clever and quite well written. I was surprised at how good the book was, as I expected just another rehash of 'received ideas'...." Read more
"...machine learning, AI, neural networks,etc.. this book will be an amazing read. Very descriptive and informative." Read more
"Masterful!" Read more
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Top reviews from Canada
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- Reviewed in Canada on November 12, 2015Verified PurchaseI have been in AI for more than 40 years. I know, I know, I am old, and I have seen just about everything in this area of science. My 1985 Ph.D. was one of the first in the area of Associative Memories (a field related to earlier AI ideas). That said, this book has quickly become my favorite! So concise, so clear and clever! If you want to understand where we are in the AI research these days, READ THIS BOOK! Read it and then take Pedro Domingo's COURSERA video course! I do not want to spoil your enjoyment by telling you much about the Master Algorithm, but what I can tell you is that it reads like Da Vinci Code! It is full of humor and intrigue. Wonderful book from a rising star in machine learning!
- Reviewed in Canada on December 20, 2015Verified PurchaseEnormously clever and quite well written. I was surprised at how good the book was, as I expected just another rehash of 'received ideas'. There is good, original thinking here.
- Reviewed in Canada on December 30, 2018Verified PurchaseIf you enjoy machine learning, AI, neural networks,etc.. this book will be an amazing read. Very descriptive and informative.
- Reviewed in Canada on August 14, 2019Verified PurchaseMasterful!
- Reviewed in Canada on January 19, 2017Verified PurchaseIt's an ok Book, the guy is knowledgeable on a wide variety of subject, it will give you an overview of the subject matter, but I am not so sure about it's intended audience.
- Reviewed in Canada on April 8, 2017Verified PurchaseFascinating. The future is going to be very different and potentially very good. This book explains why.
- Reviewed in Canada on October 18, 2019Verified PurchaseThe book is a beautifully broken down delivery of complex ideas to easy to understand comparisons and topics. Its informative and accessible.
- Reviewed in Canada on November 25, 2017Verified PurchaseGood review of the different design philosophies but don't expect to learn how to use them. This one is to improve your AI culture.
Top reviews from other countries
- SimpleSimonReviewed in the United Kingdom on December 11, 2020
5.0 out of 5 stars Poorly edited but very valuable book
Verified PurchaseLike: The core chapters are a good introduction to five machine learning approaches and from that the structural elements of learning. The author's description of how he and team abstracted and combined these elements into a synthesized algorithm, Alchemy, is told in a lively, convincing and interesting way.
Dislike: First, it's not clear who the target audience is. The 'handwaving' opening and closing chapters seem aimed at the non expert. However, the core chapters demand a basic appreciation of Markov, Bayes and probability, which the average reader won't have. Second the language is idiosyncratic - particularly where the author refers to 'learning a model', by which he means 'training' or 'teaching' it logic and structure. While I recognize the lack of a good word for this, 'learning' doesn't seem right at all. I wondered if this was caused by translation from Portugese, but either way I think its the fault of Basic Books not doing their job as editors. The lack of good editing is a serious detraction and makes key sections far too difficult to read. This is noted by other reviewers who take a harsher line, but on the whole this detraction didn't diminish my overall rating.
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FabioReviewed in Italy on November 7, 2020
5.0 out of 5 stars Lettura piacevole
Verified PurchaseFondamentale per chiunque come me si sta specializzando nel campo machine learning.
Non entra mai troppo nel tecnico esponendo ad alto livello tutte le tecniche principali usate in ML, dando molti spunti di ragionamento per lo sviluppo di un MASTER ALGORITHM.
Pur non entrando troppo nel tecnico il libro secondo me è fortemente sconsigliato a chiunque non abbia un minimo di background sul tema.
- H. SebastianReviewed in Germany on September 6, 2020
5.0 out of 5 stars The Quest for the Ultimate Learning Machine
Verified PurchaseCompared to the other books I read on the topic „Artificial Intelligence“ this is the one which concentrates (up to my personal reading experience, see reviews) on 300 pages most on the technological background how to achieve the feat of an „ultimate learning machine“. The whole course is then closed with an outlook what a potential world with this kind of machine might look like. But the author reminds the curious reader, that we are all already experiencing and use learning programs, that they are not only part of our daily life, but also more and more influencing our decisions, not only in the way which ads are displayed while surfing the web.
I really enjoyed reading the book, what I especially liked is the overview of the different thought schools (and the related theories and ways to approach the issue „AI“ underneath) which are actually in the play on the big, growing field of „Artificial Intelligence“. Several times, other authors are cited, their way of thinking approached from a different angle (e.g. Max Tegmark), so it almost „feels“ like listening to a scientific discussion.
Comparing the „fun“ factor to read the book, Mr. Domingo presents the topics with a little more seriousness in the way of writing compared to Mr. Tegmark, Kurzweil or Russel, but I can recommend this book for everybody who has a serious interest in the topic of „Artificial Intelligence“ and the further potential impacts it will bring to our life. It will certainly not teach you how to program the „Master Algorithm“, but it will help to understand which topics are the ones the current mainstream researchers are pursuing.
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QuiqueReviewed in Spain on July 18, 2017
5.0 out of 5 stars Visión global del machine learning, no está mal escrito
Verified PurchaseEs un libro interesante para alguien que tenga un interés en la materia, da una visión global de las diferentes aproximaciones o familias en machine learning.
No es un libro para alguien ya versado en la materia o que quiera profundizar en los detalles.
Está bien escrito y es ameno, lo que muchas veces no es habitual en literatura "técnica".