Everything you’ve always wanted to know about self-driving cars, Netflix recommendations, IBM’s Watson, and video game-playing computer programs.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Paperback. Condición: 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. Nº de ref. del artículo: 00100940828
Cantidad disponible: 3 disponibles
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Paperback. Condición: Very 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. Nº de ref. del artículo: 00110485493
Cantidad disponible: 1 disponibles
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
Paperback. Condición: Very Good. Reprint. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Nº de ref. del artículo: 0262537974-11-6
Cantidad disponible: 1 disponibles
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Nº de ref. del artículo: 39938797-6
Cantidad disponible: 1 disponibles
Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
paperback. Condición: Good. Bruise/tear to cover. Nº de ref. del artículo: mon0000007893
Cantidad disponible: 1 disponibles
Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
paperback. Condición: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Nº de ref. del artículo: mon0000007852
Cantidad disponible: 9 disponibles
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0262537974I5N00
Cantidad disponible: 1 disponibles
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0262537974I4N00
Cantidad disponible: 1 disponibles
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Paperback. Condición: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0262537974I3N10
Cantidad disponible: 1 disponibles
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0262537974I3N00
Cantidad disponible: 1 disponibles