Professor

Violet Peng

AD
2.5
Overall Ratings
Based on 14 Users
Easiness 2.4 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Workload 3.1 / 5 How light the workload is, 1 being extremely heavy and 5 being extremely light.
Clarity 2.6 / 5 How clear the professor is, 1 being extremely unclear and 5 being very clear.
Helpfulness 2.9 / 5 How helpful the professor is, 1 being not helpful at all and 5 being extremely helpful.

Reviews (14)

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March 25, 2023
Quarter: Winter 2023
Grade: NR

Great introduction to NLP and its modern day applications! I learned so much from this course alone. I liked the way the professor explained the material, how it was super engaging and super relevant to how NLP is actually used in the real world. It has even made me consider a career in the NLP/ML field.

The core topic of this course IMO is language models. You start from the very basics (n-grams), and the professor explains step-by-step how language models have evolved over the past few years, culminating at the various transformer models (BERT, GPT).

Grading was very fair and lenient. There were plenty of extra credit opportunities on the projects, and she gave everyone 5 % boost on their midterm and final grades for completing a course survey. The exams themselves were very fair; as long as you understand the lectures, you should be all set.

I also do want to mention the course project, since it allows you to actually have hands-on experience with how researchers are using NLP in the real world. It is a fairly involved group project, but you learn a ton and it could pay off in the future if you choose to pursue something NLP related. That being said, the project takes a LOT longer than one might think, as training the transformer models on the GPUs took forever and the VM environment in which we trained the models kept crashing.

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COM SCI 162
Quarter: Winter 2023
Grade: NR
March 25, 2023

Great introduction to NLP and its modern day applications! I learned so much from this course alone. I liked the way the professor explained the material, how it was super engaging and super relevant to how NLP is actually used in the real world. It has even made me consider a career in the NLP/ML field.

The core topic of this course IMO is language models. You start from the very basics (n-grams), and the professor explains step-by-step how language models have evolved over the past few years, culminating at the various transformer models (BERT, GPT).

Grading was very fair and lenient. There were plenty of extra credit opportunities on the projects, and she gave everyone 5 % boost on their midterm and final grades for completing a course survey. The exams themselves were very fair; as long as you understand the lectures, you should be all set.

I also do want to mention the course project, since it allows you to actually have hands-on experience with how researchers are using NLP in the real world. It is a fairly involved group project, but you learn a ton and it could pay off in the future if you choose to pursue something NLP related. That being said, the project takes a LOT longer than one might think, as training the transformer models on the GPUs took forever and the VM environment in which we trained the models kept crashing.

Helpful?

0 0 Please log in to provide feedback.
2 of 2
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