3.00 Credits
This course provides an overview of advanced machine learning, data mining and data analytics applications. The main topics of the course can be organized as follows: Anomaly and Outlier Detection, Categorical and Regression Trees (CART), Time-series, K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN), Gradient Boosting (GB), Random Forests (RF), Cluster Analysis, Support Vector Machines (SVM). (Fall - 2nd Session) [Graded (Standard Letter)] Prerequisite(s): ANLY 6110 Prerequisite Min Grade: C Registration Restriction(s): Masters of Science in Business Analytics
Prerequisite:
ANLY 6110