AIDD 603 AI Methodology II
This graduate level course will teach intermediate to advanced level concepts and methodology of AI/ML. Students will continue to learn advanced concepts, and best practices in AI/ML, including problem formulation, data preprocessing, model selection, evaluation, and interpretation. Student learn and apply unsupervised learning techniques and neural networks. Through lectures, hands-on exercises, and real-world case studies, students will gain practical skills to apply AI/ML methodologies to problems relevant to healthcare and drug development domain. The students will learn fundamentals of AI/ML programming using the open-source Python software.