December 2016
Beginner to intermediate
392 pages
8h 13m
English
Content preview from Apache Spark for Data Science CookbookBecome 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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Machine learning with SparkR
SparkR is integrated with Spark's MLlib machine learning library so that algorithms can be parallelized seamlessly without specifying manually which part of the algorithm can be run in parallel. MLlib is one of the fastest-growing machine learning libraries; hence, the ability to use R with MLlib will create a huge number of contributions to MLlib from R users. As of Spark 1.6, there is support for generalized linear models (Gaussian and binomial) over DataFrames and as per Spark 2.0.2, the algorithms such as Naive Bayes and KMeans are available.
Getting ready
To step through this recipe, you will need a running Spark Cluster either in pseudo distributed mode or in one of the distributed modes, that is, standalone, YARN, ...
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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.
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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.