Semester: Fall Offered: 2017 Course Description: Machine learning is the computational study of artificial systems that can adapt to novel situations, discover patterns from data, and improve performance with practice. This course will cover the mathematical foundation of supervised and unsupervised learning. The course will provide a state-of-the-art overview of the field, with an emphasis … Continue reading "COMPSCI 689: Machine Learning"

Semester: Spring Offered: 2018 Course Description: Probabilistic graphical models are an intuitive visual language for describing the structure of joint probability distributions using graphs. They enable the compact representation and manipulation of exponentially large probability distributions, which allows them to efficiently manage the uncertainty and partial observability that commonly occur in real-world problems. As a … Continue reading "CMPSCI 688: Probabilistic Graphical Models"

Semester: Fall Offered: 2018 Course Description: The field of Data Science encompasses methods, processes, and systems that enable the extraction of useful knowledge from data. Foundations of Data Science introduces core data science concepts including computational and inferential thinking, along with core data science skills including computer programming and statistical methods. The course presents these … Continue reading "STATISTC/COMPSCI 190F: Foundations of Data Science"