Machines Like Us (MIT Press)
Friday, 20 May 2022

Subtitled "Toward AI with Common Sense", this book asks how we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. Ronald J. Brachman and Hector J. Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning

<ASIN:‎ 0262046792>

 

Author: Ronald J. Brachman and Hector J. Levesque
Publisher: The MIT Press
Date: May 2022
Pages: 320
ISBN: 978-0262046794
Print: ‎0262046792
Kindle: ‎B09CYNL9FF
Audience: General
Level: Intermediate
Category: Artificial Intelligence

 

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Math for Programmers (Manning)

Author: Paul Orland
Publisher: Manning Publications
Date: January 2021
Pages: 688
ISBN: 978-1617295355
Print: 1617295353
Audience: Python developers interested in math
Rating: 4
Reviewer: Mike James
Of course you need to learn math, don't you?



Functional Programming in C#, 2nd Ed (Manning)

Author: Enrico Buonanno
Publisher: Manning
Date: February 2022
Pages: 448
ISBN: 978-1617299827
Print: 1617299820
Kindle: B09P1Z2PPB
Audience: C# developers
Rating: 5
Reviewer: Mike James
Is C# a good language for functional programming?


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