The master algorithm how the quest for the ultimate learning machine will remake our world

The machine learning revolutionThe master algorithm -- Hume's problem of induction -- How does your brain learn? -- Evolution : nature's learning algorithm -- In the church of the Reverend Bayes -- You are what you resemble -- Learning without a teacher -- The pieces of the puzzle fall int...

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1. Verfasser: Domingos, Pedro (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: New York, NY Basic Books 2015
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Zusammenfassung:The machine learning revolutionThe master algorithm -- Hume's problem of induction -- How does your brain learn? -- Evolution : nature's 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.
Prologue; CHAPTER ONE: The Machine-Learning Revolution; CHAPTER TWO: The Master Algorithm; CHAPTER THREE: Hume's Problem of Induction; CHAPTER FOUR: How Does Your Brain Learn?; CHAPTER FIVE: Evolution: Nature's Learning Algorithm; CHAPTER SIX: In the Church of the Reverend Bayes; CHAPTER SEVEN: You Are What You Resemble; CHAPTER EIGHT: Learning Without a Teacher; CHAPTER NINE: The Pieces of the Puzzle Fall into Place; CHAPTER TEN: This Is the World on Machine Learning; Acknowledgments; Further Readings; Index
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 ster
Beschreibung:Includes index
Beschreibung:XXI, 329 Seiten
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ISBN:9780465065707
978-0-465-06570-7