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: CRegistration Restriction(s): Masters of Science in Business Analytics
Prerequisite:
ANLY 6110