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

Pedro Domingos

ISBN 10: 0241004543 ISBN 13: 9780241004548

Editorial: Penguin UK, 1777

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

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

Editor

Penguin UK

Fecha de publicaci�n

1777

Idioma

Ingl�s

ISBN 10

0241004543

ISBN 13

9780241004548

Encuadernaci�n

Encuadernaci�n de tapa dura

Edici�n

1755179673.

Estado

Very Good

Estado de la sobrecubierta

18509302

Firmado

8/14/2025 1:54:33 PM

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Sinopsis

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. Pedro Domingos, one of the field's leading lights, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. Step by step, he assembles a blueprint for the future universal learner-the Master Algorithm-and discusses what it means for you, and for the future of business, science, and society.

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.

Acerca del autor

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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