Practical Machine Learning with H2O PDF
By:Darren Cook
Published on 2016-12-05 by |O'Reilly Media, Inc.|
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
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Book ID of Practical Machine Learning with H2O's Books is C5amDQAAQBAJ, Book which was written byDarren Cookhave ETAG "M3NFIjqGH+Q"
Book which was published by |O'Reilly Media, Inc.| since 2016-12-05 have ISBNs, ISBN 13 Code is 9781491964552 and ISBN 10 Code is 1491964553
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