Practical Machine Learning with H20 (Paperback)

Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that's easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms. If you're familiar with R or Python, know a bit of statistics, and have some experience manipulating data, author Darren Cook will take you through H2O basics and help you conduct machine-learning experiments on different sample data sets. You'll explore several modern machine-learning techniques such as deep learning, random forests, unsupervised learning, and ensemble learning. Learn how to import, manipulate, and export data with H2O Explore key machine-learning concepts, such as cross-validation and validation data sets Work with three diverse data sets, including a regression, a multinomial classification, and a binomial classification Use H2O to analyze each sample data set with four supervised machine-learning algorithms Understand how cluster analysis and other unsupervised machine-learning algorithms work

General

Imprint:	O'Reilly Media
Country of origin:	United States
Release date:	December 2016
Authors:	Darren Cook
Dimensions:	232 x 175 x 27mm (L x W x T)
Format:	Paperback
Pages:	300
ISBN-13:	978-1-4919-6460-6
Categories:	Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	1-4919-6460-X
Barcode:	9781491964606

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