Lectures related to A priori and a posteriori

Explores the balance between exploration and exploitation in multi-arm bandit algorithms.

Covers feedback, kinematics, rotational motion, and rigid body dynamics in physics.

Explores the conservation of mechanical energy and its application in solving physics problems involving work, stability, and energy transformations.

Discusses error minimization in Bayesian inference and the importance of prior knowledge in the inference process.