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Java for Data Science

Java for Data Science

By : Richard M. Reese, Reese
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Java for Data Science

Java for Data Science

By: Richard M. Reese, Reese

Overview of this book

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (13 chapters)
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Understanding the data formats used in data science applications


When we discuss data formats, we are referring to content format, as opposed to the underlying file format, which may not even be visible to most developers. We cannot examine all available formats due to the vast number of formats available. Instead, we will tackle several of the more common formats, providing adequate examples to address the most common data retrieval needs. Specifically, we will demonstrate how to retrieve data stored in the following formats:

  • HTML

  • PDF

  • CSV/TSV

  • Spreadsheets

  • Databases

  • JSON

  • XML

Some of these formats are well supported and documented elsewhere. For example, XML has been in use for years and there are several well-established techniques for accessing XML data in Java. For these types of data, we will outline the major techniques available and show a few examples to illustrate how they work. This will provide those readers who are not familiar with the technology some insight into their nature.

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