January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Summary
In this chapter, we saw how to interoperate with a few big data tools such as Spark, H2O, and ADAM for handling a large-scale genomics dataset. We applied the Spark-based K-means algorithm to genetic variants data from the 1000 Genomes project analysis, aiming to cluster genotypic variants at the population scale.
Then we applied an H2O-based DL algorithm and Spark-based Random Forest models to predict geographic ethnicity. Additionally, we learned how to install and configure H2O for DL. This knowledge will be used in later chapters. Finally and importantly, we learned how to use H2O to compute variable importance in order to select the most important features in a training set.
In the next chapter, we will see how effectively we ...
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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.