November 2015
Intermediate to advanced
190 pages
4h 11m
English
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Chapter 6. You're So Naïve, Bayes
We've all seen examples of using Naïve Bayes classifiers in a way of classifying text. The applications include spam detection, sentiment analysis, and more. In this chapter, we're going to take a road that is less traveled. We will build a Naïve Bayes classifier that can take in continuous inputs and classify them. Specifically, we'll build a Gaussian Naïve Bayes classifier to classify which state a person is from, which will be based on the person's height, weight, and BMI.
This chapter will work a bit differently from the previous ones. Here, we'll develop an N-class Gaussian Naïve Bayes classifier to fit our use case (the data at hand). In the next chapter, we'll pull in some of this data to train with, and ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.