BSAN 6070 Introduction to Machine Learning
3 semester hours
This course will provide students a hands-on application oriented exposure to machine learning (ML), while taking a deep dive into the fundamentals of supervised and unsupervised machine learning algorithms, model selection, feature engineering, data fitting, model evaluation and optimization. Students will also learn how to instantiate, test, and deploy ML models using platforms such as Azure ML and Python libraries using real life data sets. Finally, students will develop the skills to interpret ML based predictive models to support business decision making.
Prerequisite: BSAN 6030 (with a minimum grade of B-).