How Smart Machines Think - Sean Gerrish - 2018 (Technology) [Audi...

  • Category Other
  • Type Audiobook
  • Language English
  • Total size 174.7 MB
  • Uploaded By miok
  • Downloads 342
  • Last checked 4 months ago
  • Date uploaded 4 months ago
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Infohash : 0AC7B07C60D725AAAA3521B4D5DFA1012C0E5E02

How Smart Machines Think - Sean Gerrish - 2018



By: Sean Gerrish, Kevin Scott - foreword
Narrated by: Timothy Andrés Pabon
Length: 9 hrs and 5 mins
Unabridged Audiobook
Release date: 08-24-18
Language: English
Genre: Science & Technology
Publisher: Tantor Audio
Format: mp3 64/44.1 stereo

Publisher's Summary

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, and computer programs can be trained to play Atari games. But how do all these things work?

In this audiobook, 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; 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. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing listeners to many of the researchers involved and keeping technical details to a minimum.

Science and technology buffs will find this audiobook an essential guide to a future in which machines can outsmart people.

©2018 Massachusetts Institute of Technology (P)2018 Tantor








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Sean Gerrish - 2018 - How Smart Machines Think (Technology)
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