ISBN: 9781491964606 - practical machine learning with h2o: powerful, scalable techniques for deep learning and ai (24 Ergebnisse)

Paperback. Zustand: Good. 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.…

Paperback. Zustand: Good. 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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paperback. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Zustand: Brand New. 200 pages. 9.00x6.75x0.50 inches. In Stock.

Zustand: New. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms. Num Pages: 300 pages, black & white illustrations. BIC Classification: UNC; UYQM. Category: (XV) Technical / Manuals. Dimension: 181 x 233 x 18. Weight in Grams: 514. . 2016. 1st Edition. Paperback. . . . . …

Zustand: New. In English.

Zustand: New. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms. Num Pages: 300 pages, black & white illustrations. BIC Classification: UNC; UYQM. Category: (XV) Technical / Manuals. Dimension: 181 x 233 x 18. Weight in Grams: 514. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. …

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

Taschenbuch. Zustand: 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.…

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