September 2016
Beginner to intermediate
344 pages
7h 44m
English
Content preview from Spark for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Text classification
Text classification is about assigning a topic, subject category, genre, or something similar to the text blob. For example, spam filters assign spam or not spam to an email.
Apache Spark supports various classifiers through MLlib and ML packages. The SVM classifier and Naive Bayes classifier are popular classifiers, and the former was already covered in the previous chapter. Let's take a look at the latter now.
Naive Bayes classifier
The Naive Bayes (NB) classifier is a multiclass probabilistic classifier and is one of the best classification algorithms. It assumes strong independence between every pair of features. It computes the conditional probability distribution of each feature and a given label, and then applies Bayes' ...
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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.