Generalized Linear Models

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (53)

Spin Glasses and Bayesian Estimation Log in to Mediaspace to watch this video

Covers the concepts of spin glasses and Bayesian estimation, focusing on observing and inferring information from a system closely.

Statistical Theory: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Statistical Analysis: Boxplot and Normal Distribution Log in to Mediaspace to watch this video

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Probability and Statistics: Basics and Applications Log in to Mediaspace to watch this video

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Maximum Likelihood Estimation: Linear Models Log in to Mediaspace to watch this video

Explores maximum likelihood estimation in linear models, covering Gaussian noise, covariance estimation, and support vector machines for classification problems.

Polynomial Regression: Overview Log in to Mediaspace to watch this video

Covers polynomial regression, flexibility impact, and underfitting vs overfitting.

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

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

Elements of Statistics Log in to Mediaspace to watch this video

Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

Special Families of Models Log in to Mediaspace to watch this video

Explores completeness, minimal sufficiency, and special statistical models, focusing on exponential and transformation families.

Probability Spaces Log in to Mediaspace to watch this video

Covers random variables, expectation, and distributions in probability spaces.

Linear Models: Continued Log in to Mediaspace to watch this video

Explores linear models, regression, multi-output prediction, classification, non-linearity, and gradient-based optimization.

Logistic Regression: Classification Log in to Mediaspace to watch this video

Covers supervised learning, classification using logistic regression, and challenges in optimization.

Untitled Log in to Mediaspace to watch this video

Page 3 of 3