Machine Learning in Java
Second Edition
Helpful techniques to design, build, and deploy powerful machine learning applications in Java
BIRMINGHAM - MUMBAI
- Title Page
- Copyright and Credits
- Contributors
- About Packt
- Preface
- Applied Machine Learning Quick Start
- Java Libraries and Platforms for Machine Learning
- Basic Algorithms - Classification, Regression, and Clustering
- Before you start
- Classification
- Regression
- Clustering
- Summary
- Customer Relationship Prediction with Ensembles
- Affinity Analysis
- Recommendation Engines with Apache Mahout
- Fraud and Anomaly Detection
- Image Recognition with Deeplearning4j
- Activity Recognition with Mobile Phone Sensors
- Text Mining with Mallet - Topic Modeling and Spam Detection
- What Is Next?
- Other Books You May Enjoy
Machine Learning in Java
Second Edition
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