List: Top books for learning about generative artificial intelligence

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There are the 9 best books to get up to speed on the hot new world of generative AI, according to experts

Melanie Mitchell, professor at the Santa Fe Institute who researches visual recognition and artificial intelligence systems. In this work, Mitchell grapples with some of the biggest questions surrounding the explosive field of artificial intelligence.

Peter Lee, Carey Goldberg, and Isaac Kohane. Lee, Corporate VP for Research and Incubations at Microsoft; Goldberg, medical and science journalist; Kohane, chair of department of medical informatics at Harvard Medical School. The AI Revolution in Medicine— which is not even out yet, but available for pre-order on Amazon— has already been branded by the site as a bestseller.

The AI Revolution in Medicine also includes a foreward by OpenAI's CEO Sam Altman, and contributions from Sebastien Bubeck, an AI expert at Microsoft. Screenshot from Routledge.comMargaret A. Boden, a professor of cognitive science at the University of Sussex, who studies artificial intelligence, philosophy, and psychology.

to its online description. The 2nd edition incorporates more recent developments in the field of artificial intelligence to further explore that topic.

 

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Master Algorithm by pmddomingos is the only one worth reading. PS: I don’t like him, unfortunately the book is good.

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