Covers the basics of linear regression in machine learning, exploring its applications in predicting outcomes like birth weight and analyzing relationships between variables.
Explores tonality, pitch profiles, key distance, and statistical analysis of pitch classes, using pitch spaces to analyze pitch distributions and the Tonnetz for a different tonality.