Decision theory

Related lectures (32)

Page 3 of 4

Covers financial analysis exercises using Excel to calculate present value and analyze scenarios.

Explores optimality in decision theory and unbiased estimation, emphasizing sufficiency, completeness, and lower bounds for risk.

Covers the estimation of distributions using samples and probability models.

Introduces Soft Margin SVM, aiming to balance errors and margin width.

Explains thermodynamic properties, equations of state, and mixture rules for energy systems modeling.

Covers classification concepts, medical screening tests, and decision rules.

Covers the formalism for supervised learning and decision functions in classification problems.

Covers Gaussian noise and decision-making in communication systems, emphasizing the importance of understanding Gaussian noise in signal processing.

Introduces the fundamentals of statistical learning, covering supervised learning, decision theory, risk minimization, and overfitting.

Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.