Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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How Smart Machines Think (Hardcover)
Loot Price: R371
Discovery Miles 3 710
You Save: R105
(22%)
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How Smart Machines Think (Hardcover)
Series: The MIT Press
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List price R476
Loot Price R371
Discovery Miles 3 710
You Save R105 (22%)
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Everything you've always wanted to know about self-driving cars,
Netflix recommendations, IBM's Watson, and video game-playing
computer programs. The future is here: Self-driving cars are on the
streets, an algorithm gives you movie and TV recommendations, IBM's
Watson triumphed on Jeopardy over puny human brains, computer
programs can be trained to play Atari games. But how do all these
things work? In this book, Sean Gerrish offers an engaging and
accessible overview of the breakthroughs in artificial intelligence
and machine learning that have made today's machines so smart.
Gerrish outlines some of the key ideas that enable intelligent
machines to perceive and interact with the world. He describes the
software architecture that allows self-driving cars to stay on the
road and to navigate crowded urban environments; the million-dollar
Netflix competition for a better recommendation engine (which had
an unexpected ending); and how programmers trained computers to
perform certain behaviors by offering them treats, as if they were
training a dog. He explains how artificial neural networks enable
computers to perceive the world-and to play Atari video games
better than humans. He explains Watson's famous victory on
Jeopardy, and he looks at how computers play games, describing
AlphaGo and Deep Blue, which beat reigning world champions at the
strategy games of Go and chess. Computers have not yet mastered
everything, however; Gerrish outlines the difficulties in creating
intelligent agents that can successfully play video games like
StarCraft that have evaded solution-at least for now. Gerrish
weaves the stories behind these breakthroughs into the narrative,
introducing readers to many of the researchers involved, and
keeping technical details to a minimum. Science and technology
buffs will find this book an essential guide to a future in which
machines can outsmart people.
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