Machine Learning for Java SDEs: AI Application Development

Empower Java Software Development Engineers to seamlessly integrate, deploy, and manage Machine Learning models within Java applications, transforming them into AI-powered solutions.
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Foundations of Machine Learning with Java

Unit 1: Introduction to Machine Learning

Unit 2: Setting Up Your Java ML Environment

Unit 3: Implementing Basic ML Algorithms in Java

Feature Engineering and Data Pipelines in Java

Unit 1: Feature Engineering Fundamentals in Java

Unit 2: Building Data Pipelines with Java

Unit 3: Advanced Feature Engineering Techniques

Model Deployment and Integration with Java Applications

Unit 1: Deploying ML Models with Spring Boot

Unit 2: Integrating Pre-trained Models

Unit 3: Model Evaluation and Improvement

Advanced Machine Learning Techniques and Applications in Java

Unit 1: Fraud Detection in Java

Unit 2: Recommendation Systems in Java

Unit 3: Explainable AI (XAI) in Java

Unit 4: Federated Learning in Java