December 2016
Beginner to intermediate
392 pages
8h 13m
English
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Chapter 7. Working with Sparkling Water - H2O
In this chapter, you will learn the following recipes:
- Working with H2O on Spark
Downloading and installing H2O
Using H2O API in Spark
- Implementing k-means using H2O over Spark
- Implementing spam detection with Sparkling Water
- Deep learning with airlines and weather data
- Implementing a crime detection application
- Running SVM with H2O over Spark
Introduction
H2O is a fast, scalable, open-source machine learning and deep learning library for smarter applications. Using in-memory compression, H2O handles billions of data rows in memory, even with a small cluster. In order to create complete analytic workflows, H2O's platform includes interfaces for R, Python, Scala, Java, JSON and CoffeeScript/JavaScript flows, ...
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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.