The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
- Length: 352 pages
- Edition: 1
- Language: English
- Publisher: Basic Books
- Publication Date: 2015-09-22
- ISBN-10: 0465065708
- ISBN-13: 9780465065707
- Sales Rank: #312212 (See Top 100 Books)
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 discoverythe scientific method on steroidsthat 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 learnerthe Master Algorithmand 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 groundbreaking 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.
Table of Contents
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