CAP 4611: Algorithms for Machine Learning
University of Central Florida
An overview of the most commonly used algorithms for supervised, unsupervised, and reinforcement learning. Introduction to experimental design, evaluation metrics, and applications of machine learning.
Average GPA: 3.43
Grade distribution records: 2,576 students across 13 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 1,350 | 52.4% |
| A- | 146 | 5.7% |
| B+ | 130 | 5.0% |
| B | 378 | 14.7% |
| B- | 73 | 2.8% |
| C+ | 44 | 1.7% |
| C | 170 | 6.6% |
| C- | 6 | 0.2% |
| D+ | 7 | 0.3% |
| D | 19 | 0.7% |
| D- | 9 | 0.3% |
| F | 52 | 2.0% |
| W | 192 | 7.5% |
Based on 2,576 student grade records across 13 terms and 10 professors.
Instructors
- Tanvir Ahmed 484 students, Average GPA 3.45
- Christopher Hollander 397 students, Average GPA 3.08
- Ladislau Boloni 390 students, Average GPA 3.81
- Aakash Kumar 250 students, Average GPA 3.29
- Amrit Singh Bedi 248 students, Average GPA 3.46
- Mahdi Zaman 227 students, Average GPA 3.42
- Subharag Sarkar 227 students, Average GPA 3.75
- Ali Siahkoohi 188 students, Average GPA 3.21
- Mengxin Zheng 100 students, Average GPA 3.27
- Gita Reese Sukthankar 65 students, Average GPA 3.30