Overview
- A practical, hands-on book covering the latest machine learning and cloud techniques that Java developers can use
- Explains why machine learning techniques can yield new functionality which was not previously possible using traditional development approaches
- Includes several case study examples and projects
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About this book
Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualizationfor Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data.
After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java.
What You Will Learn
- Identify, organize, and architect the data required for ML projects
- Deploy ML solutions in conjunction with cloud providers such as Google and Amazon
- Determine which algorithm is the most appropriate for a specific ML problem
- Implement Java ML solutions on Android mobile devices
- Create Java ML solutions to work with sensor data
- Build Java streaming based solutions
Who This Book Is For
Experienced Java developers who have not implemented machine learning techniques before.
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Table of contents (6 chapters)
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Bibliographic Information
Book Title: Practical Java Machine Learning
Book Subtitle: Projects with Google Cloud Platform and Amazon Web Services
Authors: Mark Wickham
DOI: https://doi.org/10.1007/978-1-4842-3951-3
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Mark Wickham 2018
Softcover ISBN: 978-1-4842-3950-6Published: 24 October 2018
eBook ISBN: 978-1-4842-3951-3Published: 23 October 2018
Edition Number: 1
Number of Pages: XXIII, 392
Number of Illustrations: 155 b/w illustrations
Topics: Java, Artificial Intelligence, Programming Languages, Compilers, Interpreters