October 2016
Intermediate to advanced
654 pages
22h 41m
English
Content preview from Data Mining, 4th Edition
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Chapter 1
What’s it all about?
Abstract
This book is about machine learning techniques for data mining. We start by explaining what people mean by data mining and machine learning, and give some simple example machine learning problems, including both classification and numeric prediction tasks, to illustrate the kinds of input and output involved. To demonstrate the wide applicability of machine learning in practical applications, we continue with brief reviews of several fielded applications from a diverse set of areas. Machine learning is closely linked to the study of statistics, and we discuss the connections between these two fields next. It is also strongly related to the field of artificial intelligence, particularly search techniques, ...
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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.