Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI

Name: Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI
Brand: O'Reilly Media
SKU: 9781491964606
Price: 3011.0 INR
Availability: InStock

by Darren Cook

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ISBN13: 9781491964606
Binding: Paperback
Subject: N/A
Publisher: O'Reilly Media
Publisher Imprint: O'Reilly Media
Publication Date: January 10, 2017
Pages: 300
Original Price: USD 49.99
Language: English
Edition: N/A
Item Weight: 481 grams
BISAC Subject(s): Artificial Intelligence / General, Data Science / General, and Business & Productivity Software / Business Intelligence

About The Book

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

About The Author

Cook, Darren: - Darren Cook has over 20 years of experience as a software developer, data analyst, and technical director, working on everything from financial trading systems to NLP, data visualization tools, and PR websites for some of the world's largest brands. He is skilled in a wide range of computer languages, including R, C++, PHP, JavaScript, and Python. He works at QQ Trend, a financial data analysis and data products company.

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