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Practical Machine Learning with H2O

O'Reilly Media
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9781491964606
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9781491964606
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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


  • | Author: Darren Cook
  • | Publisher: O'Reilly Media
  • | Publication Date: December 16, 2016
  • | Number of Pages: 300 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 149196460X
  • | ISBN-13: 9781491964606
Author:
Darren Cook
Publisher:
O'Reilly Media
Publication Date:
December 16, 2016
Number of pages:
300 pages
Language:
English
Binding:
Paperback
ISBN-10:
149196460X
ISBN-13:
9781491964606