Discusses entropy, isentropic transformations, and the Clausius-Kelvin prohibitions, as well as the Carnot cycle and the efficiency of machines with two heat sources.
Introduces decision trees for classification, covering entropy, split quality, Gini index, advantages, disadvantages, and the random forest classifier.