Any student interested in AI and machine learning should take this course. Machine learning is about understanding how algorithms learn from experience and improve over time. In this class, students will explore how data can be used to uncover patterns, make predictions, and better understand complex information. We will look at both supervised and unsupervised methods, including classification, regression, clustering, subgroup analysis, and association models. The course also emphasizes contemporary techniques that make complex data easier to visualize and understand.

Any student interested in AI and machine learning should take this course. Machine learning is about understanding how algorithms learn from experience and improve over time. In this class, students will explore how data can be used to uncover patterns, make predictions, and better understand complex information. We will look at both supervised and unsupervised methods, including classification, regression, clustering, subgroup analysis, and association models. The course also emphasizes contemporary techniques that make complex data easier to visualize and understand.