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Related lectures (32)

Hydroacoustics for Hydroelectric Installations Log in to Mediaspace to watch this video

Explores valve closing laws, water hammer, and surge tanks in hydroelectric installations.

Training and Testing Games Log in to Mediaspace to watch this video

Emphasizes the importance of separating training and testing data for machine learning models.

Machine Learning Fundamentals: Overfitting and Regularization Log in to Mediaspace to watch this video

Covers overfitting, regularization, and cross-validation in machine learning, exploring polynomial curve fitting, feature expansion, kernel functions, and model selection.

Model Complexity and Overfitting in Machine Learning Log in to Mediaspace to watch this video

Covers model complexity, overfitting, and strategies to select appropriate machine learning models.

Model Selection and Evaluation Log in to Mediaspace to watch this video

Discusses the experimental framework for selecting and evaluating supervised learning models to prevent overfitting.

Machine Learning Fundamentals: Regularization and Cross-validation Log in to Mediaspace to watch this video

Explores overfitting, regularization, and cross-validation in machine learning, emphasizing the importance of feature expansion and kernel methods.

Image Classification: Overfitting and Accuracy Measures Log in to Mediaspace to watch this video

Explores overfitting and accuracy measures in image classification, emphasizing the importance of model generalization and optimal accuracy.

Cross-validation & Regularization Log in to Mediaspace to watch this video

Explores polynomial curve fitting, kernel functions, and regularization techniques, emphasizing the importance of model complexity and overfitting.

Hydraulic Transients of Turbines: Hydroacoustic Modeling Log in to Mediaspace to watch this video

Explores hydraulic turbine modeling, stability, and historical development, emphasizing the selection criteria for Francis turbines.

Polynomial Regression: Basics and Regularization Log in to Mediaspace to watch this video

Covers the basics of polynomial regression and regularization to prevent overfitting.

Regression Trees and Ensemble Methods in Machine Learning Log in to Mediaspace to watch this video

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Classification with GMM and kNN Log in to Mediaspace to watch this video

Covers classification using GMM and kNN, exploring boundaries, errors, and practical exercises.

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