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Mastering Java for Data Science

You're reading from   Mastering Java for Data Science Analytics and more for production-ready applications

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781782174271
Length 364 pages
Edition 1st Edition
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Author (1):
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Alexey Grigorev Alexey Grigorev
Author Profile Icon Alexey Grigorev
Alexey Grigorev
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Data Science Using Java

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.

You have been reading a chapter from
Mastering Java for Data Science
Published in: Apr 2017
Publisher: Packt
ISBN-13: 9781782174271
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