Covers a review of machine learning concepts, including supervised learning, classification vs regression, linear models, kernel functions, support vector machines, dimensionality reduction, deep generative models, and cross-validation.
Delves into potential energy, energy conservation, power, and force in mechanics, emphasizing the conservation of energy and the relationship between force and potential energy.