Advanced Data Analytics for Organizations
Advanced machine-learning algorithms for predicting numeric and categorical outcomes. Data dimension reduction. Forecasting. Clustering and segmentation, anomaly detection, and model quality evaluation.
IS
555
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesAdmission to a Marriott School graduate program.
 TaughtFall
Course Outcomes: 


Know Strengths & Limitations of Data Mining Methods

To gain a working knowledge of the strengths and limitations of modern data mining methods (algorithms).

Identify and Adress Problems with Data Mining Methods

To learn to identify problems that can profitably be addressed via data mining methods.

Learn to Set Up Data for Experiments

To learn how to set up data for data mining experiments.

Identify Appropriate Methods

For a given problem, to be able to identify what methods are appropriate.

Proficiency in Evaluating and Comparing Model Performance

To become proficient in methods of evaluating and comparing model performance.