Classification techniques including naive Bayes, k-nearest neighbors, logistic regression, and support vector machines; data visualization and feature extraction including principal components analysis and linear projections; clustering; and an introduction to neural networks and deep learning.

Level

advanced

Department

ENG

Credits

4