How Smart Machines Think
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 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 na…
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Produktdetails
Weitere Autoren: Scott, Kevin
- ISBN: 978-0-262-03840-9
- EAN: 9780262038409
- Produktnummer: 27010009
- Verlag: Random House N.Y.
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 312 S.
- Masse: H23.7 cm x B16.1 cm x D2.5 cm 650 g
- Gewicht: 650
Über den Autor
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.
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