June 2013
Beginner
290 pages
10h 35m
English
Content preview from Applying Analytics
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178 Applying Analytics: A Practical Introduction
a match ca n be missed or a do c ument that should not have been a match can
be mistakenly included. These are known, respectively, as errors of omission
and commission. These type s of errors are not limited to text mining; analo -
gous behavior in the image of the flock of birds is ea sy to imagine. You may
miss a bird because your view is partially blocked by one in front of it (omis-
sion), or your software may mistake a jet plane in the background as a bird
(commission).
Clearly, building a piece of software to extract metadata from unstructured
data is fraught with subtlety and complexity. It also ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.