I took Professor Peters's graduate course as an undergraduate and initially considered dropping it. However, Dr. Peters encouraged me to stick with it, and I'm glad I did. His lectures were very interesting: He has a deep understanding of the material and consistently took time to check in on my progress and explain concepts thoroughly.

Guo seems friendly and approachable at first, as well as knowledgeable in machine learning concepts, but his teaching style doesn't convey that much. Sections seemed practically useless, lectures focused too heavily on theory with little to no explanations, and course expectations, like for the final project, were outlined weakly and much too late.

do not take.

I would not recommend this professor unless you have no other choice. The lectures were disorganized, and it felt like they were just reading off the slides without offering any deeper explanations. When students asked questions, the responses were often vague or dismissive, which made it hard to clarify important concepts.

Yu leaves much to be desired in their teaching approach. Classes often felt disorganized, with a lack of clear objectives or structured material. Key concepts were often rushed through or skipped entirely, making it challenging to understand the course content fully.

Best lecturer in pstat department.