Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI
Cook, Darren
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.;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!
Categorias:
Ano:
2017
Edição:
First edition
Editora:
O'Reilly Media, Inc.
Idioma:
english
ISBN 10:
149196460X
ISBN 13:
9781491964606
Arquivo:
MOBI , 23.56 MB
IPFS:
,
english, 2017