Machine Learning in Java – Second Edition

With Machine Learning in Java – Second Edition, explore data processing, machine learning, and NLP concepts using JavaML, WEKA, MALLET libraries. Practical examples, tips, and tricks to help you understand applied machine learning in Java. (Limited-time offer)

Table of Contents

• Applied Machine Learning Quick Start
• Java Libraries and Platforms for Machine Learning
• Basic Algorithms – Classification, Regression, and Clustering
• 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

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