This book is about building data science applications using the Java language. In this book, we will cover all the aspects of implementing projects from data preparation to model deployment.
The readers of this book are assumed to have some previous exposure to Java and data science, and the book will help to take this knowledge to the next level. This means learning how to effectively tackle a specific data science problem and get the most out of the available data.
This is an introductory chapter where we will prepare the foundation for all the other chapters. Here we will cover the following topics:
- What is machine learning and data science?
- Cross Industry Standard Process for Data Mining (CRIPS-DM), a methodology for doing data science projects
- Machine learning libraries in Java for medium and large-scale data science applications
By the end of this chapter, you will know how to approach a data science project and what Java libraries to use to do that.
