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

Make sure your website or web application users get content updates "right now" with minimal latency. This concise guide shows you how to push new data from the server to clients with HTML5 Server-Sent Events (SSE), an exceptional technology that doesn't require constant polling or user interaction. You'll learn how to build a real-world SSE application from start to finish that solves a demanding domain problem.

You'll also discover how to increase that application's desktop and mobile browser support from 60% to 99%, using different fallback solutions. If you're familiar with HTML, HTTP, and basic JavaScript, you're ready to get started.Determine whether SSE, WebSockets, or data pull is best for your organizationDevelop a working SSE application complete with backend and frontend solutionsAddress error handling, system recovery, and other issues to make the application production-qualityExplore two fallback solutions for browsers that don't support SSETackle security issues, including authorization and "disallowed origin"Develop realistic, repeatable data that's useful in test-driven SSE designLearn SSE protocol elements not covered in the example application