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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
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Author (1):
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Rushdi Shams Rushdi Shams
Author Profile Icon Rushdi Shams
Rushdi Shams
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Toc

Table of Contents (10) Chapters Close

Preface 1. Obtaining and Cleaning Data FREE CHAPTER 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

What you need for this book

We have used Java to solve real-world data science problems. Our focus was to deliver content that can be effective for anyone who wants to know how to solve problems with Java. A minimum knowledge of Java is required, such as classes, objects, methods, arguments and parameters, exceptions, and exporting Java Archive (JAR) files. The code is well supported with narrations, information, and tips to help the readers understand the context and purpose. The theories behind the problems solved in this book, on many occasions, are not thoroughly discussed, but references for interested readers are provided whenever necessary.

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