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Viser: Practical Machine Learning with H2O - Powerful, Scalable Techniques for Deep Learning and AI
Practical Machine Learning with H2O Vital Source e-bog
Darren Cook
(2016)
Practical Machine Learning with H2O
Powerful, Scalable Techniques for Deep Learning and AI
Darren Cook
(2016)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (December 2016)
- ISBN: 9781491964552
Bookshelf online: 5 år fra købsdato.
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Detaljer om varen
- Paperback: 300 sider
- Udgiver: O'Reilly Media, Incorporated (December 2016)
- ISBN: 9781491964606
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