September 2014
Beginner to intermediate
408 pages
8h 53m
English
Content preview from Data Mining For Dummies
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Chapter 18
Expanding Your Horizons
In This Chapter
Digging deeper into data mining
Taking advantage of new data-mining methods
Thinking Big Data
Integrating data mining with other disciplines
You can be a data miner, or you can be an outstanding data miner. The difference is just a matter of effort. Invest thought, study, and practice in your new profession, and you’ll become a distinguished practitioner.
In this chapter, you find out how to make the most of your tools, widen your analytics range with new techniques, and tackle today’s large and complex data sources.
Squeezing More Out of What You Have
The data-mining applications available today, even those that are free of charge, are remarkably powerful and loaded with features and options. You don’t need to use all of them (even very experienced data miners rarely, if ever, use every option), but you must become familiar with the major capabilities, and you should never stop investigating and trying new things.
Mastering your data-mining application
Why is data-mining software like unassembled furniture? Nobody likes to read ...
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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.