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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Data Pipeline in Apache Spark
As we have seen the movie lens use case, it is quite common to run a sequence of machine learning algorithms to process and learn from data. Another example is a simple text document processing workflow, which can include several stages:
- Split the document's text into words
- Convert the document's words into a numerical feature vector
- Learn a prediction model from feature vectors and labels
Spark MLlib represents such a workflow as a Pipeline; it consists of Pipeline Stages in sequence (Transformers and Estimators), which are run in a specific order.
A Pipeline is specified as a sequence of stages. Each stage is a Transformer or an Estimator. Transform converts one data frame into another. Estimator, on the ...
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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.