Explores the history, principles, and critiques of evolutionary psychology, emphasizing the adaptive function of characteristics and the evolutionary approach to understanding human behavior.
Explores diverse regularization approaches, including the L0 quasi-norm and the Lasso method, discussing variable selection and efficient algorithms for optimization.
Explores natural selection, genetic variation, and evolutionary changes within populations, using examples like sickle cell anemia and flu virus evolution.
Explores variable selection through filtering and correlation methods in machine learning, emphasizing relevance quantification and relationship measurement with the label.
