March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Computing summary statistics with MLlib
In this section, we will be answering the following questions:
- What are summary statistics?
- How do we use MLlib to create summary statistics?
MLlib is the machine learning library that comes with Spark. There has been a recent new development that allows us to use Spark's data-processing capabilities to pipe into machine learning capabilities native to Spark. This means that we can use Spark not only to ingest, collect, and transform data, but we can also analyze and use it to build machine learning models on the PySpark platform, which allows us to have a more seamless deployable solution.
Summary statistics are a very simple concept. We are familiar with average, or standard deviation, or the ...
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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.