March 2014
Beginner to intermediate
416 pages
13h 36m
English
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Part 2. Modeling methods
In part 1, we discussed the initial stages of a data science project. After you’ve defined more precisely the questions you want to answer and the scope of the problem you want to solve, it’s time to analyze the data and find the answers. In part 2, we work with powerful modeling methods from statistics and machine learning.
Chapter 5 covers how to identify appropriate modeling methods to address your specific business problem. It also discusses how to evaluate the quality and effectiveness of models that you or others have discovered. The remaining chapters in part 2 cover specific modeling techniques.
Chapter 6 covers what we call memorization-based techniques. These methods make predictions based primarily on summary ...
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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.