Practical Machine Learning H2o by Cook Darren (17 results)

- Softcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Paperback or Softback. Condition: New. Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI. Book.

- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - 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.…

- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.Über den AutorrnrnDarren Cook has over 20 years of experience as a software developer, data analyst, and technical d.