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.

I took this class as an undergrad. I found this class pretty interesting. The grading is 45% hw, 45% project, 10% lecture scribe. You're expected to use LaTeX in RMarkdown for homework and LaTeX for scribing (only one lecture per person.) The homework assignments are pretty challenging but you have plenty of time to do them cus they're only 3 of em

Class is easy for a graduate course, a lot of content overlaps with the stuff for PSTAT 131 students, except for the final that has a proofs section a little bit harder but still doable for a grad student. The final project's instructions were vague but my final project was dogsh*t and got an A- so he's chill. If u want easy A, take coburn instead

Avoid this guy if you can! He gave a super difficult final exam, with a lot of confusing multiple choice/true or false questions. He was difficult to reach outside of the class. His office hour didn't have anyone, including himself.

Very difficult to get a hold of outside of one or two days a week. Always rushing out and prefer to hide behind emails or zoom for communications. Unwilling to set up office hour outside of days he lectures. Don't feel like he cares about student's education, but cares more about his own time and schedule.

often unavailable, difficult to reach, more interested to stack all of his meeting during one day of the week so he can be off campus dating.

40% HW, 40% Final, 20% Quizzes. Very good at explaining concepts and answering questions. Quizzes have some tricky questions, but homework is straightforward and the final exam was fair. He is awesome.

Professor Yu's lectures are clear and organized. The homework is based on R but he gives very clear instructions on how to code in R. The homework (40%) is straightforward based on lectures and quizzes (20%) are really helpful for reviewing the course contents. No midterm. Final (40%) is easy if you can understand lectures well.