Explore supervised and unsupervised machine learning and cover standard data mining techniques using machine learning algorithms. Your learning will include correlation and association, discriminant analysis, naïve Bayes, nearest neighbor, cluster analysis, decision trees, and neural networks. Text mining is also covered.
At the end of the course, you will be able to:
- Comprehend the mechanics of machine learning and multiple techniques such as pattern recognition and statistical hypothesis testing.
- Apply the data requirements for regressions, classification, and clustering machine learning activities.
- Implement data cleansing, normalization, and standardization techniques.
- Evaluate model accuracy and implement improvements.
- Apply advanced modeling techniques to a variety of business activities.
Prerequisite: MBA 604 Managerial Economics, MBA 618 Business Statistics, and BIA 630 Data Analysis and Business Modeling