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The Master Algorithm
How the Quest for the Ultimate Learning Machine Will Remake Our World
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Check link for latest rating. ( 6,398 ratings, 594 reviews)
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Description
A spell-binding quest for the one algorithm capable of deriving all knowledge from data, including a cure for cancer.
Society is changing, one learning algorithm at a time, from search engines to online dating, personalised 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. He takes us on an awe-inspiring quest to find The Master Algorithm—a universal learner capable of deriving all knowledge from data.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Pedro Domingos offers an engaging and accessible exploration of machine learning, explaining the field to both enthusiasts and experts alike. Reviews highlight how the book demystifies complex concepts, bridging the gap between technical depth and broad readability, and providing insights into machine learning's transformative potential. Recognised for shedding light on the five main techniques of the field, Domingos charmingly conveys his vision with clarity and authority, catering to anyone curious about AI's impact on the future.
Book Details
INFORMATION
ISBN: 9780141979243
Publisher: Penguin Books Ltd
Format: Paperback / softback
Date Published: 26 January 2017
Country: United Kingdom
Imprint: Penguin Books Ltd
Audience: General / adult, Tertiary education, Professional and scholarly
DIMENSIONS
Spine width: 18.0mm
Width: 129.0mm
Height: 198.0mm
Weight: 257g
Pages: 352
About the Author
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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