Mining the Social Web, 2nd Ed (O'Reilly)
Wednesday, 09 April 2014

How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located?  In his expanded and thoroughly revised edition, Matthew Russell shows how to acquire, analyze, and summarize data from the social web: Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs. See our review of original edition.

<ASIN:1449367615>

 

Author: Matthew A Russell
Publisher: O'Reilly
Date: October 20, 2013
Pages: 448
ISBN: 978-1449367619

 

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Machine Learning Q and AI (No Starch Press)

Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
Q and AI, a play on Q&A is a clever title, but is the book equally clever?



Your AI Survival Guide

Author: Sol Rashidi
Publisher: Wiley
Date: April 2024
Pages: 224
ISBN: 978-394272631
Print: 1394272634
Kindle: B0CYLXSVW5
Audience: General
Rating: 3.5
Reviewer: Kay Ewbank

This is a book aimed at executives and managers who work in companies that don't yet use AI, with the aim of providing information to [ ... ]


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