Java Data Analysis

Hubbard, John R.
Packt Publishing Limited

Get the most out of the popular Java libraries and tools to perform efficient data analysis About This Book * Get your basics right for data analysis with Java and make sense of your data through effective visualizations. * Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning. * This is your companion to understanding and implementing a solid data analysis solution using Java Who This Book Is For If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required. What You Will Learn * Develop Java programs that analyze data sets of nearly any size, including text * Implement important machine learning algorithms such as regression, classification, and clustering * Interface with and apply standard open source Java libraries and APIs to analyze and visualize data * Process data from both relational and non-relational databases and from time-series data * Employ Java tools to visualize data in various forms * Understand multimedia data analysis algorithms and implement them in Java. In Detail Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you'll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you'll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different

Extent 412 pages ISBN 9781787285651
Size N/A Price £32.99
Format N/A Published 19 Sep 2017
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