Natural Language Processing(NLP)
Statistical and neural NLP: language modeling, sequence labeling, parsing, semantics, and modern transformer architectures.
Distributions
11 reviews — mean bin highlighted.Logistics
- ML helpful
- Interactive Intelligencecore
- Machine Learningelective
Reviews (11)
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- 4 / 5Difficulty4/5Workload8 hr/wkRecommendYes
Would I take it again? Yes. The course rewards consistent weekly effort.
- 4 / 5Difficulty4/5Workload24 hr/wkRecommendYes
Project-driven course. Most of the 24 hrs/wk go to assignments rather than lectures.
- 3 / 5Difficulty4/5Workload12 hr/wkRecommendYes
Honest review: hard class, light workload. Loved lectures are well-produced. Hated group dynamics are hit or miss.
- 4 / 5Difficulty4/5Workload5 hr/wkRecommendYes
Project-driven course. Most of the 5 hrs/wk go to assignments rather than lectures.
- 4 / 5Difficulty5/5Workload15 hr/wkRecommendYes
brutal pace, moderate hours weekly. Coming in I had limited Python exposure. Glad I stuck with it.
- 4 / 5Difficulty4/5Workload22 hr/wkRecommendYes
Project-driven course. Most of the 22 hrs/wk go to assignments rather than lectures.
- 3 / 5Difficulty3/5Workload13 hr/wkRecommendYes
Project-driven course. Most of the 13 hrs/wk go to assignments rather than lectures.
- 3 / 5Difficulty3/5Workload16 hr/wkRecommendYes
If you have limited Python exposure, this is approachable. Otherwise plan for ~16 hrs/wk and a few late nights.
- 2 / 5Difficulty4/5Workload5 hr/wkRecommendNo
Would I take it again? Probably not. The course rewards consistent weekly effort.
- 4 / 5Difficulty4/5Workload22 hr/wkRecommendYes
Would I take it again? Yes. The course rewards consistent weekly effort.
- 3 / 5Difficulty3/5Workload15 hr/wkRecommendYes
Took this in Summer 2023. Workload averaged ~15 hrs/wk. Difficulty felt fair. Instructors engage in forums.