Lectures related to Supervised Learning: Regression Methods

Data-driven Reinforcement Learning Log in to Mediaspace to watch this video

Discusses challenges in AI systems, supervised learning limitations, and the necessity of data-driven methods in reinforcement learning.

Statistical Analysis of Networks: Link Prediction and Biclustering Log in to Mediaspace to watch this video

Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.

General Linear Model: Symmetric Matrices Log in to Mediaspace to watch this video

Covers the general linear model and the concept of symmetric matrices.

Variable Selection Methods: Filtering and Correlation Log in to Mediaspace to watch this video

Explores variable selection through filtering and correlation methods in machine learning, emphasizing relevance quantification and relationship measurement with the label.

Multivariate Polynomial Regression Log in to Mediaspace to watch this video

Covers multivariate polynomial regression to predict sound velocity in water based on measurements.

Support Vector Machines: Exercises Solutions Log in to Mediaspace to watch this video

Covers solutions to SVM exercises, discussing optimality conditions, decision functions, and parameter impacts.