Learn how to construct machine learning and data analysis scalable for big data using H2O software, using sample data se
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English Pages xv, 281 pages : illustrations ; 24 cm Year 2017;2016
Table of contents :
Installation and quick-start --
Data import, data export --
The data sets --
Common model parameters --
Random forest --
Gradient boosting machines --
Linear models --
Deep learning (neural nets) --
Unsupervised learning --
Everything else --
Epilogue: Didn't they all do well!