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Mastering Machine Learning with R - Second Edition
book

Mastering Machine Learning with R - Second Edition

by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky
April 2017
Beginner to intermediate
420 pages
9h 58m
English
Packt Publishing
Content preview from Mastering Machine Learning with R - Second Edition

H2O background

H2O is an open source predictive analytics platform with prebuilt algorithms, such as k-nearest neighbor, gradient boosted machines, and deep learning. You can upload data to the platform via Hadoop, AWS, Spark, SQL, noSQL, or your hard drive. The great thing about it is that you can utilize the machine learning algorithms in R and, at a much greater scale, on your local machine. If you are interested in learning more, you can visit the site: http://h2o.ai/product/.

The process of installing H2O on R is a little different. I put the code here that gave me the latest update (as of February 25, 2017). You can use it to reinstall the latest version or pull it off of the website: http://h2o-release.s3.amazonaws.com/h2o/rel-lambert/5/docs-website/Ruser/Rinstall.html/ ...

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Publisher Resources

ISBN: 9781787287471