Share
Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI (in English)
Darren Cook
(Author)
·
O'Reilly Media
· Paperback
Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI (in English) - Cook, Darren
$ 34.99
$ 49.99
You save: $ 15.00
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Tuesday, June 25 and
Wednesday, June 26.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI (in English)"
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 H2OExplore key machine-learning concepts, such as cross-validation and validation data setsWork with three diverse data sets, including a regression, a multinomial classification, and a binomial classificationUse H2O to analyze each sample data set with four supervised machine-learning algorithmsUnderstand how cluster analysis and other unsupervised machine-learning algorithms work