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The Master Algorithm: How the Quest for the Ultimate Learning Machine will Remake our World

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Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. And 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.
Machine learning is the automation of discovery-the scientific method on steroids-that enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery.
If data-ism is today's rising philosophy, this book will be its bible. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectual developments of all time. The Master Algorithm is the essential guide for anyone and everyone wanting to understand not just how the revolution will happen, but how to be at its forefront.

'Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be' Walter Isaacson, author of Steve Jobs

Society is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market. But learning algorithms are not just about Big Data - these algorithms take raw data and make it useful by creating more algorithms. This is something new under the sun: a technology that builds itself. In The Master Algorithm, Pedro Domingos reveals how machine learning is remaking business, politics, science and war. And he takes us on an awe-inspiring quest to find 'The Master Algorithm' - a universal learner capable of deriving all knowledge from data.

Author: Domingos Pedro
Publisher: PENGUIN
Pages: 329
ISBN: 9780141979243
Cover: Paperback
Edition Number: 1
Release Year: 2017

Pedro Domingos is one of the world's top machine learning researchers, and a Professor in the Department of Computer Science and Engineering at the University of Washington. He is a Fellow of the Association for the Advancement of Artificial Intelligence and has received Fulbright and Sloan Fellowships and the National Science Foundation's CAREER Award.

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