April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Spark 1.6 to 2.0
The DataFrame-based API will be the primary API.
The RDD-based API is entering maintenance mode. The MLlib guide (http://spark.apache.org/docs/2.0.0/ml-guide.html) provides more details.
The following are the new features introduced in Spark 2.0:
- ML persistence: The DataFrames-based API provides support for saving and loading ML models and Pipelines in Scala, Java, Python, and R
- MLlib in R: SparkR offers MLlib APIs for generalized linear models, naive Bayes, k-means clustering, and survival regression in this release
- Python: PySpark in 2.0 supports new MLlib algorithms, LDA, Generalized Linear Regression, Gaussian Mixture Model, among others
Algorithms added to DataFrames-based API are GMM, Bisecting K-Means clustering, ...
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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.