Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
Covers pattern classification, regression, clustering, and dimensionality reduction with a focus on statistical evaluation and Python implementation.
Offering recorded · Fall 2026
Historical reviews of John Gillett, Sebastian Raschka: Workload is generally manageable with recorded lectures, though Gillett's exams can be difficult and require careful review, while one review cites unorganized materials and confusing group policies.
historical GPA · grades
Spring 2022–Spring 2026Introduction to deep learning and generative models connecting neural networks to statistical concepts.
Offering recorded · Fall 2026
Historical reviews of Yiqiao Zhong: Reviewers note low overall workload, though exams can be confusing if lecture concepts are not understood. One student found the difficulty manageable with effort, while another cited flexible deadlines and fine tests.
historical GPA · grades
Spring 2023–Spring 2026