TECH 176: Machine Learning Technology and Applications
San Jose State University
Overview of machine learning in computer network systems with emphasis on practical applications focusing on supervised and unsupervised techniques and methods, including classification and clustering. Emphasis on big data analytics and data mining. Prerequisite(s): TECH 30 or CMPE 30.
Average GPA: 3.58
Grade distribution records: 270 students across 11 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 34 | 12.6% |
| A | 150 | 55.6% |
| A- | 23 | 8.5% |
| B+ | 13 | 4.8% |
| B | 20 | 7.4% |
| B- | 9 | 3.3% |
| C+ | 2 | 0.7% |
| C | 1 | 0.4% |
| C- | 6 | 2.2% |
| D+ | 1 | 0.4% |
| D | 1 | 0.4% |
| F | 10 | 3.7% |
Based on 270 student grade records across 11 terms and 1 professor.
Instructors
- Armin Maraghehmoghaddam 270 students, Average GPA 3.58