December 2014
Beginner to intermediate
288 pages
6h 43m
English
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Acknowledgments
Without a doubt, we are living in the age of data mining and Big Data analytics. Because of their popularity (and perhaps a little bit of hype), everybody is talking about data mining and Big Data analytics, often in different scope and contexts, using diverse terminology. The main goal of this book is to explain the language of analytics and data mining in a comprehensive yet not-too-technical way. If I have, at least partially, succeeded in achieving this goal, it is because of the direct and indirect contributions of a number of people.
I want to thank my colleagues and my students for providing me with the broader perspective toward analytics that I needed to write this book in a holistic manner. As is the case for most academics, ...
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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.