October 2015
Beginner to intermediate
168 pages
4h 11m
English
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Summary
In this chapter, we illustrated how Bayesian regression is more useful for prediction with a tighter confidence interval using the Energy efficiency dataset and the bayesglm function of the arm package. We also learned how to simulate the posterior distribution using the sim function in the same R package. In the next chapter, we will learn about Bayesian classification.
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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.