September 2016
Beginner to intermediate
326 pages
6h 47m
English
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The Mahout and Spark integration
Apache Mahout was a general machine learning library built on top of Hadoop. Mahout started out primarily as a Java MapReduce package to run machine learning algorithms. As machine learning algorithms are iterative in nature, MapReduce had major performance and scalability issues, so Mahout stopped the development of MapReduce-based algorithms and started supporting new platforms, such as Spark, H2O, and Flink, with a new package called Samsara.
Let's install Mahout, explore the Mahout shell with Scala bindings, and then build a recommendation system.
Installing Mahout
The latest version of Spark does not work well with Mahout yet, so I used the Spark 1.4.1 version with the Mahout 0.12.2 version. Download the Spark ...
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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.