Practical Machine Learning with H2O (eBook)

Powerful, Scalable Techniques for Deep Learning and AI

Darren Cook (Autor)

eBook Download: EPUB

2016
300 Seiten
O'Reilly Media (Verlag)
978-1-4919-6455-2 (ISBN)

Infos

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 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

Produkt-Details

• Erscheint lt. Verlag: 5.12.2016
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• ISBN-10: 1-4919-6455-3 / 1491964553
• ISBN-13: 978-1-4919-6455-2 / 9781491964552