How smart machines think
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Author
Contributions
- Scott, Kevin, writer of forward - Contributor
Publication
2018 - , Massachusetts
Language
English
Word Count
74,500 words, Guess
Page Count
298 pages
Identifiers
- Open LibraryOL26974322M
- ISBN-139780262038409
- ISBN-100262038404
- OCLC Control Number1020297678
- Library of Congress Control Number2017059862
Classifications
- DDC006.3
- LCCQA76.87 .G49 2018
Description
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 thingswork? 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.
Other Editions
- How smart machines think
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