Practical Machine Learning with H2O : Powerful, Scalable Techniques for Deep Learning and AI EPUB
by Darren Cook
EPUB
Description
Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework thats 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 youre 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. Youll 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
Information
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Download - Immediately Available
- Format:EPUB
- Pages:300 pages
- Publisher:O'Reilly Media
- Publication Date:05/12/2016
- Category:
- ISBN:9781491964552
Other Formats
- PDF from £21.59
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:300 pages
- Publisher:O'Reilly Media
- Publication Date:05/12/2016
- Category:
- ISBN:9781491964552
