Prof Baracaldo is not the best at explaining 131 material; she goes rly deep into all of statistical ML proofs and is often times confusing. She's nice though and gives good feedback on project if you approach her after class. HW and quizzes are not bad. TA is rly helpful. Overall not a hard class but ML concepts are hard to understand in general.

Super nice professor, class was very fairly graded on easy homework and final project, clear grading criteria. Available after class and at office hours to answer any and all questions, will help you directly with any specific problem. Quizzes were very simple and open book/internet, just a basic check to make sure you're paying attention.

I am the PSTAT 115 student.the best professor I have ever met at UCSB. Well-prepared and organized lecture The exams are not easy, but if you follow her step, you will do well on the exams. she should not got low grade, she is so patient when answer my question.I got 100% on canvas, it gives me confidence and I really love it and the professor

4 HW's with 1.5 weeks to finish each, 3 online quizzes bi-weekly. Lectures were so confusing but necessary to succeed so attend all. Midterm and final both took questions from the practice exam and had 50% R output interpretation 30% Derivation/Proof 20% MC/TF and extra credit. Attend sections right before the exam, TA's went over helpful topics.

If you want to be concerned about whether you will graduate on time due to a single question on a single exam, this is the class to take. Prof never responds to emails/Nectir (Slack).

Random in-class quizzes, bi-weekly homework assignments which were challenging because in-class material didn't help, a midterm and a final. Final was completely unfair and irrelevant to what we learned. I would only take this class when Professor Sang-Yun Oh teaches it. Most of the class felt like they learned absolutely nothing. Avoid, 0/10 class