How Smart Machines Think by Sean Gerrish (English) Paperback Book

Description: How Smart Machines Think by Sean Gerrish Everything youve always wanted to know about self-driving cars, Netflix recommendations, IBMs Watson, and video game-playing computer programs. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Everything youve always wanted to know about self-driving cars, Netflix recommendations, IBMs 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, IBMs 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 todays 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 Watsons 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. Author Biography 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. Review Gerrish offers a fresh and contemporary look at AI, machine learning, and deep learning by presenting the topics in light of how the technologies have surfaced in familiar memes like the Jeopardy TV game show, Netflix, video games like StarCraft, board games like Go, chess, Sudoku, and also self-driving cars.—Inside Big DataAn excellent primer for the engineer interested in putting AI in context.—E&T MagazineHow Smart Machines Think by Sean Gerrish. If you want to discuss recent AI achievements with your students, such as how self-driving cars work, how Watson beat two of the best human Jeopardy! players, how NetFlix uses AI to recommend movies to people, and how AlphaGo beat one of the best human Go players, this book is for you.—Getting Smart Review Quote Gerrish offers a fresh and contemporary look at AI, machine learning, and deep learning by presenting the topics in light of how the technologies have surfaced in familiar memes like the Jeopardy TV game show, Netflix, video games like StarCraft, board games like Go, chess, Sudoku, and also self-driving cars.-- Inside Big Data -- An excellent primer for the engineer interested in putting AI in context. -- E&T Magazine -- How Smart Machines Think by Sean Gerrish. If you want to discuss recent AI achievements with your students, such as how self-driving cars work, how Watson beat two of the best human Jeopardy! players, how NetFlix uses AI to recommend movies to people, and how AlphaGo beat one of the best human Go players, this book is for you. -- Getting Smart -- Details ISBN0262537974 Author Sean Gerrish Pages 312 Year 2019 ISBN-10 0262537974 ISBN-13 9780262537971 Format Paperback Imprint MIT Press Place of Publication Cambridge, Mass. Country of Publication United States DEWEY 006.3 Publication Date 2019-10-22 Language English UK Release Date 2019-10-22 AU Release Date 2019-10-22 NZ Release Date 2019-10-22 US Release Date 2019-10-22 Audience Age 18 Publisher MIT Press Ltd Series The MIT Press Alternative 9780262038409 Audience Professional & Vocational Illustrations 62 b&w illus.; 124 Illustrations We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:130393501;

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