Complete Course Syllabus
Machine Learning with Java and Deep Learning Libraries
Setting up the Development Environment (Java, Spring Boot, Maven/Gradle)
Introduction to Machine Learning Concepts (Supervised, Unsupervised, Reinforcement)
Introduction to Deep Learning Concepts (Neural Networks, Activation Functions)
Using the Apache Commons Math Library for Linear Algebra and Statistics
Introduction to Deeplearning4j: Setting up and Basic Usage
Data Preprocessing with Java and Spring Boot (Handling Missing Data, Feature Scaling)
Implementing Linear Regression with Apache Commons Math
Building a Simple Neural Network with Deeplearning4j
Model Evaluation Metrics (Accuracy, Precision, Recall, F1-Score)
Deployment Strategies for Machine Learning Models in Spring Boot Applications
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