Machine Learning in Java, Second Edition, will provide you with the techniques and tools you need to quickly gain insights from complex data. You will start by learning how to apply machine learning methods to a variety of common tasks, including classification, prediction, forecasting, market basket analysis, and clustering.

This is a practical tutorial that uses hands-on examples to step through some real-world applications of machine learning. Without shying away from the technical details, you will explore machine learning with Java libraries using clear and practical examples. You will explore how to prepare data for analysis, choose a machine learning method, and measure the success of the process.