February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySparkBecome 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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Summary
In this chapter, we looked at the capabilities of the MLlib package of PySpark. Even though the package is currently in a maintenance mode and is not actively being worked on, it is still good to know how to use it. Also, for now it is the only package available to train models while streaming data. We used MLlib to clean up, transform, and get familiar with the dataset of infant deaths. Using that knowledge we then successfully built two models that aimed at predicting the chance of infant survival given the information about its mother, father, and place of birth.
In the next chapter, we will revisit the same problem, but using the newer package that is currently the Spark recommended package for machine learning.
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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.