November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Using R to illustrate boosting methods
In order to further illustrate the use of boosting, we should have an example.
In this section, we'll take a high-level look at a thought-provoking prediction problem drawn from Mastering Predictive Analytics with R, Second Edition, James D. Miller and Rui Miguel Forte, August 2017 (https://www.packtpub.com/big-data-and-business-intelligence/mastering-predictive-analytics-r-second-edition).
In this original example, patterns made by radiation on a telescope camera are analyzed in an attempt to predict whether a certain pattern came from gamma rays leaking into the atmosphere or from regular background radiation.
Gamma rays leave distinctive elliptical patterns and so we can create a set of features to ...
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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.