Machine Learning for Business Analytics

Catalog description

Machine Learning is increasingly used in applications ranging from product recommendations and business forecasting to health care diagnosis and autonomous driving. This course is aimed at developing practical machine learning and data science skills. The course will cover different principal models used in machine learning and the types of problems to which they are typically applied. Students will learn to apply the principal models in machine learning to solve business problems. We will cover the main models from both supervised learning and unsupervised learning. Finally, we will also discuss the important question of model evaluation and selection, highlighting the biases and ethical issues inherent in machine learning. P: Overall minimum GPA of 2.5 Spring.