Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Nonparametric regression

Related lectures (32)

Decision Trees and Random Forests: Concepts and Applications Log in to Mediaspace to watch this video

Discusses decision trees and random forests, focusing on their structure, optimization, and application in regression and classification tasks.

Decision Trees: Regression and Classification Log in to Mediaspace to watch this video

Covers decision trees for regression and classification, explaining tree construction, feature selection, and criteria for induction.

Regression Models: Performance and Evaluation Log in to Mediaspace to watch this video

Explores regression model performance, learning errors, and building regression trees using the CART algorithm.

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

Introduces kernel methods like SVM and regression, covering concepts such as margin, support vector machine, curse of dimensionality, and Gaussian process regression.

Feature Expansion and Kernel Methods Log in to Mediaspace to watch this video

Explores feature expansion, kernel methods, SVM, and nonlinear classification in machine learning.

Machine Learning Fundamentals: Structure Discovery, Classification, Regression Log in to Mediaspace to watch this video

Covers fundamental machine learning concepts including Structure Discovery, Classification, and Regression.

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.

Equivariant Structural Representations Log in to Mediaspace to watch this video

Explores equivariant structural representations in atomistic machine learning, emphasizing the importance of representing target properties in the spherical basis.

Feature Selection, Kernel Regression, Neural Networks Playground Log in to Mediaspace to watch this video

Covers feature selection, kernel regression, and neural networks through exercises.

Nonparametric Regression: Kernel-Based Estimation Log in to Mediaspace to watch this video

Covers nonparametric regression using kernel-based estimation techniques to model complex relationships between variables.

Machine Learning for On-Top Pair Density Log in to Mediaspace to watch this video

Delves into using machine learning to predict spinless on-top pair density and understand electron correlation in complex systems.

PAC learning framework Log in to Mediaspace to watch this video

Covers the PAC learning framework, including domain, feature set, classifier, and empirical risk.