\u003cp\u003e\u003cb\u003eGet the most out of the popular Java libraries and tools to perform efficient data analysis\u003c/b\u003e\u003c/p\u003e\u003ch2\u003eAbout This Book\u003c/h2\u003e\u003cul\u003e\u003cli\u003eGet your basics right for data analysis with Java and make sense of your data through effective visualizations.\u003c/li\u003e\u003cli\u003eUse various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning.\u003c/li\u003e\u003cli\u003eThis is your companion to understanding and implementing a solid data analysis solution using Java\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eWho This Book Is For\u003c/h2\u003e\u003cp\u003eIf 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.\u003c/p\u003e\u003ch2\u003eWhat You Will Learn\u003c/h2\u003e\u003cul\u003e\u003cli\u003eDevelop Java programs that analyze data sets of nearly any size, including text\u003c/li\u003e\u003cli\u003eImplement important machine learning algorithms such as regression, classification, and clustering\u003c/li\u003e\u003cli\u003eInterface with and apply standard open source Java libraries and APIs to analyze and visualize data\u003c/li\u003e\u003cli\u003eProcess data from both relational and non-relational databases and from time-series data\u003c/li\u003e\u003cli\u003eEmploy Java tools to visualize data in various forms\u003c/li\u003e\u003cli\u003eUnderstand multimedia data analysis algorithms and implement them in Java.\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eIn Detail\u003c/h2\u003e\u003cp\u003eData 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.\u003c/p\u003e\u003cp\u003eThis 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, youâll 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.\u003c/p\u003e\u003cp\u003eIn the process, youâll 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 Java-based libraries to create insightful and easy to understand plots and graphs.\u003c/p\u003e\u003cp\u003eBy the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.\u003c/p\u003e\u003ch2\u003eStyle and approach\u003c/h2\u003e\u003cp\u003eThe book takes a very comprehensive approach to enhance your understanding of data analysis. Sufficient real-world examples and use cases are included to help you grasp the concepts quickly and apply them easily in your day-to-day work. Packed with clear, easy-to-follow examples, this book will turn you into an ace data analyst in no time.\u003c/p\u003e
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