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

Voorkant
Basic Books, 22 sep. 2015 - 352 pagina's
3 Recensies
"Wonderfully erudite, humorous, and easy to read." --KDNuggets
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.
 

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LibraryThing Review

Gebruikersrecensie  - antao - LibraryThing

Machine Learning Made Easier (or NOT!): "The Master Algorithm" by Pedro Domingos Published September 22nd 2015. How can one become an expert in ML? All one needs is a basic background in (multivariate ... Volledige review lezen

LibraryThing Review

Gebruikersrecensie  - Alex1952 - LibraryThing

This is a great book about machine learning for both: people who want to know more about it and people who are in this business. Domingos is a great writer with the ability to present complex ideas in ... Volledige review lezen

Inhoudsopgave

Cover
The Master Algorithm
Humes Problem of Induction
How Does Your Brain Learn?
Natures Learning Algorithm
In the Church of the Reverend Bayes
You Are What You Resemble
Learning Without a Teacher
The Pieces of the Puzzle Fall into Place
This Is the World on Machine Learning
Epilogue

Overige edities - Alles weergeven

Veelvoorkomende woorden en zinsdelen

Over de auteur (2015)

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.

Bibliografische gegevens