Model Complexity

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August 31, 2024 3 min read Definitions

Bias-Variance Tradeoff: Understanding the Balance Between Complexity and Accuracy

Statistics Machine Learning Bias-Variance Tradeoff Model Complexity Generalization Overfitting Underfitting

A comprehensive guide to the Bias-Variance Tradeoff, its historical context, key concepts, mathematical models, and its importance in model evaluation and selection.

August 31, 2024 4 min read Definitions

Regularization: Techniques to Balance Model Complexity

Mathematics Statistics Science and Technology Regularization Machine Learning L1 Regularization L2 Regularization Model Complexity

An in-depth guide to regularization methods, such as L1 and L2, employed in machine learning to balance model complexity and prevent overfitting.