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This cluster provides a comprehensive view of the concepts, methods, and technologies of Artificial Intelligence and Machine Learning. It covers fundamental principles, use cases, and current trends in the industry.
This segment describes the development, configuration, and training of machine learning models. It includes model architectures, training processes, hyperparameters, and iterations. The focus is on systematic model creation rather than deployment or operation.
Technique for automated search of optimal hyperparameters for ML models to improve performance and generalization.
Process by which a machine learning model learns parameters from data to enable generalizable predictions.
Structural principles and design patterns for artificial neural networks that define layers, connectivity, and activation functions.