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Mastering Java Machine Learning

You're reading from Mastering Java Machine Learning A Java developer's guide to implementing machine learning and big data architectures

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781785880513

Length 556 pages

Edition 1st Edition

Languages

Java

Concepts

Big Data

Authors (2):

Kamath

Krishna Choppella

View More author details

Table of Contents (20) Chapters

Mastering Java Machine Learning

Credits

Foreword

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Machine Learning Review

2. Practical Approach to Real-World Supervised Learning FREE CHAPTER

3. Unsupervised Machine Learning Techniques

4. Semi-Supervised and Active Learning

5. Real-Time Stream Machine Learning

6. Probabilistic Graph Modeling

7. Deep Learning

8. Text Mining and Natural Language Processing

9. Big Data Machine Learning – The Final Frontier

Linear Algebra

Probability

Index

Real-world case study

Here we present a case study that illustrates how to apply clustering and outlier techniques described in this chapter in the real world, using open-source Java frameworks and a well-known image dataset.

Tools and software

We will now introduce two new tools that were used in the experiments for this chapter: SMILE and Elki. SMILE features a Java API that was used to illustrate feature reduction using PCA, Random Projection, and IsoMap. Subsequently, the graphical interface of Elki was used to perform unsupervised learning—specifically, clustering and outlier detection. Elki comes with a rich set of algorithms for cluster analysis and outlier detection including a large number of model evaluators to choose from.

Note

Find out more about SMILE at: http://haifengl.github.io/smile/ and to learn more about Elki, visit http://elki.dbs.ifi.lmu.de/.

Business problem

Character-recognition is a problem that occurs in many business areas, for example, the translation of medical reports...

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Authors (2)

Kamath

Kamath

See other products by Kamath

Krishna Choppella

Krishna Choppella

Krishna Choppella builds tools and client solutions in his role as a solutions architect for analytics at BAE Systems Applied Intelligence. He has been programming in Java for 20 years. His interests are data science, functional programming, and distributed computing.

See other products by Krishna Choppella

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