Cook Darren. Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI

O’Reilly Media, 2016. — 290 p. — ISBN: 978-1491964606.In Practical Machine Learning with H₂O, author Darren Cook introduces readers to H₂O, an open-source machine learning package that is gaining popularity in the data science community. This concise book will first teach readers how to install H₂O, import and export data, and distinguish H₂O algorithms. Readers will then explore various modern machine learning techniques such as deep learning, random forests, unsupervised learning, and ensemble learning. Throughout the chapters, machine learning models are introduced and tried on the same 3 data sets, guiding readers through the process of finding the right parameters for a given data set.