Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI

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!