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Machine Learning in Java

You're reading from Machine Learning in Java Helpful techniques to design, build, and deploy powerful machine learning applications in Java

Product type Paperback

Published in Nov 2018

Publisher Packt

ISBN-13 9781788474399

Length 300 pages

Edition 2nd Edition

Languages

Java

Tools

JAVA-ML

Concepts

Machine Learning

Authors (2):

Ashish Bhatia

Bostjan Kaluza

View More author details

Table of Contents (13) Chapters

Preface

1. Applied Machine Learning Quick Start FREE CHAPTER

2. Java Libraries and Platforms for Machine Learning

3. Basic Algorithms - Classification, Regression, and Clustering

4. Customer Relationship Prediction with Ensembles

5. Affinity Analysis

6. Recommendation Engines with Apache Mahout

7. Fraud and Anomaly Detection

8. Image Recognition with Deeplearning4j

9. Activity Recognition with Mobile Phone Sensors

10. Text Mining with Mallet - Topic Modeling and Spam Detection

11. What Is Next?

12. Other Books You May Enjoy

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Summary

In this chapter, we concluded this book by discussing some aspects of model deployment, and we looked into standards for the data science process and the interchangeable predictive model format. We also reviewed online courses, competitions, web resources, and conferences that could help you in your journey towards mastering the art of machine learning.

I hope this book inspired you to dive deeper into data science and has motivated you to get your hands dirty, experiment with various libraries, and get a grasp of how different problems could be attacked. Remember, all of the source code and additional resources are available on the Packt Publishing website: https://www.packtpub.com/.

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Authors (2)

Ashish Bhatia

Ashish Bhatia

See other products by Ashish Bhatia

Bostjan Kaluza

Bostjan Kaluza

Bostjan Kaluza is a researcher in artificial intelligence and machine learning with extensive experience in Java and Python. Bostjan is the chief data scientist at Evolven, a leading IT operations analytics company. He works with machine learning, predictive analytics, pattern mining, and anomaly detection to turn data into relevant information. Prior to Evolven, Bostjan served as a senior researcher in the department of intelligent systems at the Jozef Stefan Institute and led research projects involving pattern and anomaly detection, ubiquitous computing, and multi-agent systems. In 2013, Bostjan published his first book, Instant Weka How-To, published by Packt Publishing, exploring how to leverage machine learning using Weka.

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