Book Image

Java for Data Science

By : Richard M. Reese, Jennifer L. Reese
Book Image

Java for Data Science

By: Richard M. Reese, Jennifer L. 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 (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Other optional enhancements


There are numerous improvements that can be made to the application. Many of these are user preferences and others relate to improving the results of the application. A GUI interface would be useful in many situations. Among the user options, we may want add support for:

  • Displaying individual tweets

  • Allowing null sub-topics

  • Processing other tweet fields

  • Providing list of topics or sub-topics the user can choose from

  • Generating additional statistics and supporting charts

With regard to process result improvements, the following should be considered:

  • Correct user entries for misspelling

  • Remove spacing around punctuation

  • Use alternate stop word removal techniques

  • Use alternate sentiment analysis techniques

The details of many of these enhancements are dependent on the GUI interface used and the purpose and scope of the application.