December 2014
Beginner to intermediate
288 pages
6h 43m
English
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Contents
Chapter 1 Introduction to Analytics
Is There a Difference Between Analytics and Analysis?
Where Does Data Mining Fit In?
Why the Sudden Popularity of Analytics?
The Application Areas of Analytics
The Main Challenges of Analytics
A Longitudinal View of Analytics
A Simple Taxonomy for Analytics
The Cutting Edge of Analytics: IBM Watson
Chapter 2 Introduction to Data Mining
The Most Common Data Mining Applications
What Kinds of Patterns Can Data Mining Discover?
The Dark Side of Data Mining: Privacy Concerns
Chapter 3 The Data Mining Process
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.