Master Algorithm
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패키지
북카드
작가정보
저자(글) Domingos, Pedro
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.
목차
- 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
출판사 서평
Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be (Walter Isaacson, author of Steve Jobs and The Innovators)
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')
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')
[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 (Economist)
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')
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')
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')
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)
An exhilarating venture into groundbreaking computer science (Booklist (starred review))
기본정보
ISBN | 9780141979243 ( 0141979240 ) |
---|---|
발행(출시)일자 | 2017년 03월 02일 |
쪽수 | 352쪽 |
크기 |
129 * 198
* 28
mm
/ 395 g
|
총권수 | 1권 |
언어 | 영어 |
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