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Java for Data Science

You're reading from   Java for Data Science Examine the techniques and Java tools supporting the growing field of data science

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781785280115
Length 386 pages
Edition 1st Edition
Languages
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Authors (2):
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Jennifer L. Reese Jennifer L. Reese
Author Profile Icon Jennifer L. Reese
Jennifer L. Reese
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Data Science 2. Data Acquisition FREE CHAPTER 3. Data Cleaning 4. Data Visualization 5. Statistical Data Analysis Techniques 6. Machine Learning 7. Neural Networks 8. Deep Learning 9. Text Analysis 10. Visual and Audio Analysis 11. Mathematical and Parallel Techniques for Data Analysis 12. Bringing It All Together

Assembling the pieces

In the final chapter of this book, we will tie together many of the techniques explored in the previous chapters. We will create a simple console-based application for acquiring data from Twitter and performing various types of data manipulation and analysis. Our goal in this chapter is to demonstrate a simple project exploring a variety of data science concepts and provide insights and considerations for future projects.

Specifically, the application developed in the final chapter performs several high-level tasks, including data acquisition, data cleaning, sentiment analysis, and basic statistical collection. We demonstrate these techniques using Java 8 Streams and focus on Java 8 approaches whenever possible.

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