NLP 244: Adv Mach Learn for NLP
University of California, Santa Cruz
Covers advanced deep machine learning models and algorithms for Natural Language Processing, such as transformers, pre-trained large language models, contextual embeddings, multi-modal embeddings, mullti-task learning, and reinforcement learning. Provides both theoretical and intuitive understanding of NLP learning models.
Average GPA: 3.89
Grade distribution records: 111 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 27 | 24.3% |
| A | 48 | 43.2% |
| A- | 15 | 13.5% |
| B+ | 7 | 6.3% |
| B | 1 | 0.9% |
| S | 13 | 11.7% |
Based on 111 student grade records across 5 terms and 4 professors.
Instructors
- Dilek Hakkani-Tur 37 students, Average GPA 3.83
- Delip Rao 28 students, Average GPA 3.94
- Jeffrey Michael Flanigan 26 students, Average GPA 3.98
- Ian Lane 20 students, Average GPA 3.83