Department:Information Systems >
Course:Advanced Data Analytics
Advanced Data Analytics
3.0 Credit, 3 Lecture, 0 Lab
Advanced machine-learning algorithms for predicting numeric and categorical outcomes. Data dimension reduction. Forecasting. Clustering and segmentation, anomaly detection, and model quality evaluation.
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.