Decision model

Formal sciences
Statistics
Statistical inference
Decision theory

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Related lectures (31)

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

Optimality in Decision Theory: Unbiased Estimation

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

Environmental Legislation and Construction Law

Explores environmental legislation, construction law, polluted sites, and cost responsibilities.

Untitled

Global Health Challenges: Regenerative Medicine and Ethics

Explores global health challenges in regenerative medicine and ethics, guiding students on project development and critical appraisal.

Bayesian Inference: Optimal Estimation

Explores optimal Bayesian inference, denoising, scalar estimation, and phase transitions.

Decision and regression trees

Explores decision and regression trees, impurity measures, learning algorithms, and implementations, including conditional inference trees and tree pruning.

Neuronal Dynamics: Decisions and Simulations

Explores neuronal dynamics in decision making through simulations and experiments on populations of neurons.

Actor Failure Handling

Covers failure handling in asynchronous systems using the Actor Model and discusses supervision, resilience, and actor lifecycle.

Heat Exchanger Design

Covers the design of heat exchangers and optimization strategies for heat transfer.

Untitled

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