May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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The Spark MLlib library
The Spark MLlib is a library of machine learning algorithms and utilities designed to make machine learning easy and run in parallel. This includes regression, collaborative filtering, classification, and clustering. Spark MLlib provides two types of API included in the packages, namely spark.mllib and spark.ml, where spark.mllib is built on top of RDDs and spark.ml is built on top of the DataFrame. The primary machine learning API for Spark is now the DataFrame-based API in the spark.ml package. Using spark.ml with the DataFrame API is more versatile and flexible, and we can have the benefits provided by DataFrame, such as catalyst optimizer and spark.mllib, which is an RDD-based API that is expected to be removed ...
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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.