February 2018
Beginner to intermediate
258 pages
5h 47m
English
Content preview from R Deep Learning Projects
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Fraud detection with H2O
Let's try a slightly different tool, that might help us in real-life deployments. It is often useful to try different tools in the ever-growing data science landscape, if only for sanity0-check purposes.
H2O is an open source software for doing big data analytics. The young start-up (founded in 2016) counts with top researchers in mathematical optimization and statistical learning theory on their advisory board. It runs in standard environments (Linux/Mac/Windows) as well as big data systems and cloud computing environments.
You can run H2O in R, but you need to install the package first:
install.packages("h2o")
Once this is done, you can load the library:
library(h2o)
You will then see a welcome message, among some ...
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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.