Lectures related to Mean percentage error

Explores the evolution of real estate prices, hedonic models, and the UBS Swiss Real Estate Bubble Index.

Covers the concept of mean-square-error inference and optimal estimators for inference problems using different design criteria.

Covers the basics of linear regression in machine learning, including model training, loss functions, and evaluation metrics.

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

Discusses the binary representation of real numbers and the precision errors involved.

Explores the representation of floating point numbers and the importance of error analysis.