Covers the binary choice model, error term assumptions, specific constants, invariances, and distribution properties.
Covers linear models, binary and multi-class classification, and logistic regression with practical examples.
Explores the regulation of therapeutic products, covering legal requirements, product classification, market access, and advertising rules.
Introduces linear and logistic regression, covering parametric models, multi-output prediction, non-linearity, gradient descent, and classification applications.
Covers the estimation of R, including the continuity theorem and limit laws for random variables.
