Everything you’ve always wanted to know about self-driving cars, Netflix recommendations, IBM’s Watson, and video game-playing computer programs.
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Sean Gerrish is a software engineering manager at Google. He has worked in various capacities on machine learning and data science projects at his current company and in a previous role as a quantitative engineer at Teza Technologies. He holds a PhD in machine learning from Princeton University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
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Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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Vendeur : Bellwetherbooks, McKeesport, PA, Etats-Unis
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Vendeur : Bellwetherbooks, McKeesport, PA, Etats-Unis
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Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
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Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Good. Everything you want to know about the breakthroughs in AI technology, machine learning, and deep learning-as seen in self-driving cars, Netflix recommendations, and more. 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 thestories 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. N° de réf. du vendeur CIN0262537974G
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Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0262537974I3N00
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Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Paperback. Etat : Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0262537974I3N10
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Vendeur : Scissortail, Oklahoma City, OK, Etats-Unis
Etat : good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! N° de réf. du vendeur STM.LX6
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