April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Text features
In some ways, text features are a form of categorical and derived features. Let's take the example of the description for a movie (which we do not have in our dataset). Here, the raw text could not be used directly, even as a categorical feature, since there are virtually unlimited possible combinations of words that could occur if each piece of text was a possible value true, since there are virtually unlimited possible combinations of words that could occur if each piece of text was a possible value. Our model would almost never see two occurrences of the same feature and would not be able to learn effectively. Therefore, we would like to turn raw text into a form that is more amenable to machine learning, since there are ...
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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.