Practical machine learning with H2O : powerful, scalable techniques for deep learning and AI
(2016, original release: 2017)
By:
Cook, Darren
Nonfiction
Book
Call Numbers:
006.31/COOK,D
Availability
Details
PUBLISHED
Sebastopol, CA : O'Reilly Media, Inc., 2016
©2017
©2017
EDITION
First edition
DESCRIPTION
xv, 281 pages : illustrations ; 24 cm
ISBN/ISSN
9781491964606, 149196460X :, 149196460X, 9781491964606
LANGUAGE
English
NOTES
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!
Learn how to construct machine learning and data analysis scalable for big data using H2O software, using sample data sets and several machine-learning techniques including deep learning, random forests, unsupervised learning and ensemble learning