RINCIPLES OF MACHINE LEARNING

Catalog description

Machine learning is a rapidly growing field that powers many of the services we use today. This course that covers advanced machine-learning concepts in depth. Topics include global/local optimization, gradient descent/ascent, regression, categorical cross entropy, classification, logistic regression, matrix factorization, feature engineering, feature selection, boosting, and regularization. (3 credits) fall, spring, summer