
How Smart Machines Think
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Narrado por:
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Timothy Andrés Pabon
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.
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an excellent overview!
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Great book but not loving the narration
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I advise 😉
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Motivational story telling for Data Scientists
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Really Awesome Book!
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interesting insights of how computerized machines
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The adoption of Neural Network, although an old concept, has only just started surpassing expectations. This is mostly due to the exponential increase in processing speed, and the colossal amount of data, something that was not available until recently and is expected to increase at the same rate.
I enjoyed this book for its focus, accuracy, and easy to understand explanations for a subject that can be overwhelming. Expectations for the near future will be hyperbolic. Highly recommended read for all.
How Neural Networks ended the AI winter
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a useful overview of recent developments
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