DSCI 35600 Machine Learning
This course will provide an introduction to the field of Machine Learning. Several machine learning algorithms will be discussed, including but not limited to: linear regression, logistic regression, linear discriminant analysis, naïve Bayes classifiers, support vector machines, K-nearest neighbors, K-means clustering, and tree-based models. This course will explore both theoretical and applied aspects of Machine Learning. Lab fee may be required.
Credits
3