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E-grāmata: How Smart Machines Think

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  • Formāts: 312 pages
  • Sērija : How Smart Machines Think
  • Izdošanas datums: 05-Oct-2018
  • Izdevniecība: MIT Press
  • Valoda: eng
  • ISBN-13: 9780262347938
  • Formāts - PDF+DRM
  • Cena: 40,07 €*
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  • Formāts: 312 pages
  • Sērija : How Smart Machines Think
  • Izdošanas datums: 05-Oct-2018
  • Izdevniecība: MIT Press
  • Valoda: eng
  • ISBN-13: 9780262347938

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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 thingswork? 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 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. Everything youve always wanted to know about self-driving cars, Netflix recommendations, IBMs Watson, and video game-playing computer programs.
Foreword ix
Kevin Scott
Preface xi
Acknowledgments xiii
1 The Secret Of The Automaton
1(8)
2 Self-Driving Cars And The Darpa Grand Challenge
9(14)
3 Keeping Within The Lanes: Perception In Self-Driving Cars
23(14)
4 Yielding At Intersections: The Brain Of A Self-Driving Car
37(20)
5 Netflix And The Recommendation-Engine Challenge
57(16)
6 Ensembles Of Teams: The Netflix Prizewinners
73(16)
7 Teaching Computers By Giving Them Treats
89(18)
8 How To Beat Atari Games By Using Neural Networks
107(18)
9 Artificial Neural Networks' View Of The World
125(20)
10 Looking Under The Hood Of Deep Neural Networks
145(12)
11 Neural Networks That Can Hear, Speak, And Remember
157(14)
12 Understanding Natural Language (And Jeopardy! Questions)
171(16)
13 Mining The Best Jeopardy! Answer
187(20)
14 Brute-Force Search Your Way To A Good Strategy
207(22)
15 Expert-Level Play For The Game Of Go
229(20)
16 Real-Time Ai And Starcraft
249(12)
17 Five Decades (Or More) From Now
261(8)
Notes 269(26)
Index 295