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R Deep Learning Projects by Pablo Maldonado, Yuxi Liu

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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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