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Java: Data Science Made Easy

You're reading from   Java: Data Science Made Easy Data collection, processing, analysis, and more

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Product type Course
Published in Jul 2017
Publisher Packt
ISBN-13 9781788475655
Length 734 pages
Edition 1st Edition
Languages
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Authors (3):
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Alexey Grigorev Alexey Grigorev
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Alexey Grigorev
Richard M. Reese Richard M. Reese
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Richard M. Reese
Jennifer L. Reese Jennifer L. Reese
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Jennifer L. Reese
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Toc

Table of Contents (29) Chapters Close

Title Page
Credits
Preface
1. Module 1 FREE CHAPTER
2. Getting Started with Data Science 3. Data Acquisition 4. Data Cleaning 5. Data Visualization 6. Statistical Data Analysis Techniques 7. Machine Learning 8. Neural Networks 9. Deep Learning 10. Text Analysis 11. Visual and Audio Analysis 12. Visual and Audio Analysis 13. Mathematical and Parallel Techniques for Data Analysis 14. Bringing It All Together 15. Module 2
16. Data Science Using Java 17. Data Processing Toolbox 18. Exploratory Data Analysis 19. Supervised Learning - Classification and Regression 20. Unsupervised Learning - Clustering and Dimensionality Reduction 21. Working with Text - Natural Language Processing and Information Retrieval 22. Extreme Gradient Boosting 23. Deep Learning with DeepLearning4J 24. Scaling Data Science 25. Deploying Data Science Models 26. Bibliography

Acquiring data for an application


Data acquisition is an important step in the data analysis process. When data is acquired, it is often in a specialized form and its contents may be inconsistent or different from an application's need. There are many sources of data, which are found on the Internet. Several examples will be demonstrated in Chapter 2, Data Acquisition.

Data may be stored in a variety of formats. Popular formats for text data include HTML, Comma Separated Values (CSV), JavaScript Object Notation (JSON), and XML. Image and audio data are stored in a number of formats. However, it is frequently necessary to convert one data format into another format, typically plain text.

For example, JSON (http://www.JSON.org/) is stored using blocks of curly braces containing key-value pairs. In the following example, parts of a YouTube result is shown:

    {
      "kind": "youtube#searchResult",
      "etag": etag,
      "id": {
        "kind": string,
        "videoId": string,
        "channelId...
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