Practical Machine Learning with H20

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  • Denne udgave
  • Bog, paperback
  • Engelsk
  • 300 sider

Beskrivelse

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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Detaljer
  • SprogEngelsk
  • Sidetal300
  • Udgivelsesdato10-01-2017
  • ISBN139781491964606
  • Forlag O'Reilly Media
  • FormatPaperback
Størrelse og vægt
  • Vægt518 g
  • Dybde2,7 cm
  • coffee cup img
    10 cm
    book img
    17,5 cm
    23,2 cm

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