September 2016
Beginner to intermediate
326 pages
6h 47m
English
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An example of machine learning algorithms
This section shows you an example of building a machine learning application for spam detection using RDD-based API. The next section shows an example based on DataFrame-based API.
Logistic regression for spam detection
Let's use two algorithms to build a spam classifier:
HashingTFto build term frequency feature vectors from a text of spam and ham e-mailsLogisticRegressionWithSGDto build a model to separate the type of messages, such as spam or ham
As you have learned how to use notebooks in Chapter 6, Notebooks and Dataflows with Spark and Hadoop, you may execute the following code in the IPython Notebook or Zeppelin Notebook. You can execute the code from the command line as well:
- First of all, let's create ...
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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.