Computer Science Books
Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI (Darren Cook)
Shared by le kaka on 2016-12-11
Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI Author: Darren Cook Pub Date: 2016 ISBN: 978-1-491-96460-6 Pages: 290 Language: English Format: EPUB/MOBI/PDF (conv) Size: 10 Mb 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.