September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Machine learning on Spark and Hadoop
MLlib is a machine learning library on top of Spark that provides major machine learning algorithms and utilities. It is divided into two separate packages:
spark.mllib: This is the original machine learning API built on top of Resilient Distributed Datasets (RDD). As of Spark 2.0, this RDD-based API is in maintenance mode and is expected to be deprecated and removed in upcoming releases of Spark.spark.ml: This is the primary machine learning API built on top of DataFrames to construct machine learning pipelines and optimizations.
spark.ml is preferred over spark.mllib because it is based on the DataFrames API that provides higher performance and flexibility.
Apache Mahout was a general machine learning library ...
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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.