DS 137 - Machine Learning

Prerequisite: DS 123
Machine learning involves studying computer algorithms that automatically improve their performance through experience. Covers core concepts, algorithms, & applications of machine learning in business scenarios. Supervised learning topics such as classification (Naive Bayes, Logistic regression, neural networks, k-NN, decision trees, boosting) and regression (linear, nonlinear, kernel, nonparametric), as well as unsupervised learning (clustering, PCA, dimensionality reduction). Python will be the language used in this course. (Formerly DS 189T)

Weekly Lecture Hours: 2
Weekly Lab/Activity Hours: 2
Units: 3

Course Typically Offered: Spring