Machine Learning in Java
Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
by AshishSingh Bhatia, Bostjan Kaluza
2nd Edition
Publisher: Packt Publishing
Book Details
| Print ISBN | 9781788474399 |
| eText ISBN | 9781788473897 |
| Publisher | Packt Publishing |
| Publishing Year | 2018 |
| Edition | 2nd Edition |
| Language | English |
| Pages | 300 |
Machine Learning in Java, 2nd Edition, is a textbook focused on designing, building, and deploying machine learning applications using Java. It introduces the practical tools and techniques needed to construct and customize predictive models for standard analytical problems.
The text explains core tasks including classification, prediction, forecasting, and clustering. It also addresses practical implementations such as anomaly detection, recommendation systems, and sensor-based activity recognition.
Designed for readers familiar with Java programming and basic data mining concepts, this edition requires no prior machine learning experience. Its code examples run on JDK 8 and above and are verified on JDK 11.
Table of Contents
Chapter 1: Applied Machine Learning Quick Start
Chapter 2: Java Libraries and Platforms for Machine Learning
Chapter 3: Basic Algorithms – Classification, Regression, and Clustering
Chapter 4: Customer Relationship Prediction with Ensembles
Chapter 5: Affinity Analysis
Chapter 6: Recommendation Engine with Apache Mahout
Chapter 7: Fraud and Anomaly Detection
Chapter 8: Image Recognition with Deeplearning4j
Chapter 9: Activity Recognition with Mobile Phone Sensors
Chapter 10: Text Mining with Mallet – Topic Modeling and Spam Detection
Chapter 11: What is Next?
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