How Smart Machines Think by Sean Gerrish, Paperback, 9780262537971 | Buy online at The Nile
How Smart Machines Think by Sean Gerrish - ISBN: 9780262537971
Paperback
Everything you’ve always wanted to know about self-driving cars, Netflix recommendations, IBM’s Watson, and video game-playing computer programs.

How Smart Machines Think

By:
Series:
  • Paperback

    312 pages

  • Release Date

    22 October 2019

Summary

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…

Book Details

ISBN-13:9780262537971
ISBN-10:0262537974
Author:Sean Gerrish
Publisher:MIT Press Ltd
Imprint:MIT Press
Format:Paperback
Number of Pages:312
Release Date:22 October 2019
Weight:494g
Dimensions:229mm x 152mm x 19mm
Series:The MIT Press
You Can Find This Book In
What They're Saying

Critics 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 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

About The Author

Sean Gerrish

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.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.