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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Advanced Text Processing with Spark
In Chapter 4, Obtaining, Processing, and Preparing Data with Spark, we covered various topics related to feature extraction and data processing, including the basics of extracting features from text data. In this chapter, we will introduce more advanced text processing techniques available in Spark ML to work with large-scale text datasets.
In this chapter, we will:
- Work through detailed examples that illustrate data processing, feature extraction, and the modeling pipeline, as they relate to text data
- Evaluate the similarity between two documents based on the words in the documents
- Use the extracted text features as inputs for a classification model
- Cover a recent development in natural language processing ...
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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.