Model Evaluation

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Related lectures (50)

Kernel Methods in Machine Learning: Kernel Regression and SVM Log in to Mediaspace to watch this video

Discusses kernel methods in machine learning, focusing on kernel regression and support vector machines, including their formulations and applications.

Introduction to Machine Learning: Basics and Examples Log in to Mediaspace to watch this video

Introduces the basics of machine learning, covering supervised learning, reinforcement learning, and dimension reduction.

Model Selection and Evaluation: Bias-Variance Dilemma, Ridge Estimation Log in to Mediaspace to watch this video

Explores over-learning, generalization, and under-learning in machine learning models.

Gaussian Mixture Regression: Theory and Applications Log in to Mediaspace to watch this video

Explores Gaussian mixture regression and overfitting with multiple Gauss functions.

Untitled Log in to Mediaspace to watch this video

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers dimensionality reduction, PCA, clustering techniques, and density estimation methods.

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.

Principal Component Analysis: Dimension Reduction Log in to Mediaspace to watch this video

Explores Principal Component Analysis for dimension reduction in datasets and its implications for supervised learning algorithms.

Binary Classification by Regression: Decision Functions and Cost Functions Log in to Mediaspace to watch this video

Explores binary classification by regression, decision functions, and various cost functions.

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

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

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