Practical Machine Learning with H2O is popular PDF and ePub book, written by Darren Cook in 2016-12-05, it is a fantastic choice for those who relish reading online the COMPUTERS genre. Let's immerse ourselves in this engaging COMPUTERS book by exploring the summary and details provided below. Remember, Practical Machine Learning with H2O can be Read Online from any device for your convenience.
Practical Machine Learning with H2O Book PDF Summary
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
Detail Book of Practical Machine Learning with H2O PDF
- Author : Darren Cook
- Release : 05 December 2016
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781491964576
- Genre : COMPUTERS
- Total Page : 300 pages
- Language : English
- PDF File Size : 20,6 Mb
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