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

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Basic Books, Sep 22, 2015 - Computers - 352 pages
Descripción del editor: "Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. 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. He charts a course through machine learning's five major schools of thought, showing how they turn ideas from neuroscience, evolution, psychology, physics, and statistics into algorithms ready to serve you. 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. A ground-breaking book, 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." (Amazon).
 

Contents

The MachineLearning Revolution
1
The Master Algorithm
23
Humes Problem of Induction
57
How Does Your Brain Learn?
93
Evolution Natures Learning Algorithm
121
In the Church of the Reverend Bayes
143
You Are What You Resemble
177
Learning Without a Teacher
203
The Pieces of the Puzzle Fall into Place
235
This Is the World on Machine Learning
263
Acknowledgments
295
Further Readings
297
Index
313
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About the author (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.

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