Mining the Social Web, 2nd Ed (O'Reilly)
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 in Python

Author:  Michael Bowles 
Publisher: Wiley
Date: May 15, 2015
Pages: 360
ISBN: 978-1118961742
Print: 1118961749
Kindle: B00VOY1I98
Audience: Python programmers with data to analyze
Rating: 3.5
Reviewer:  Mike James 

Python is a good language to use to implement machine learning [ ... ]



Hello! iOS Development

Author: Lou Franco & Eitan Mendelowitz
Publisher: Manning
Pages: 344
ISBN: 978-1935182986
Audience: Complete beginners
Rating: 2
Reviewer: Lucy Black

This looks like the book to get you started on iOS. Its got a cover with a cartoon character and if you flip though you will see lots more cartoons [ ... ]


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