Introduction to machine learning algorithms and their applications. Topics include classification learning, density estimation and Bayesian learning regression, and online learning. Provides introduction to standard learning methods such as neural networks, decision trees, boosting, and nearest neighbor techniques.
12 terms
Other grades
University of California, Santa Cruz
CSE 142 at UCSC: average GPA 3.39 across 919 students. Grade distribution by term. Introduction to machine learning algorithms and their applications. Topics…
Average GPA: 3.39
Grade distribution records: 919 students across 12 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 78 | 8.5% |
| A | 308 | 33.5% |
| A- | 88 | 9.6% |
| B+ | 80 | 8.7% |
| B | 81 | 8.8% |
| B- | 36 | 3.9% |
| C+ | 29 | 3.2% |
| C | 45 | 4.9% |
| C- | 6 | 0.7% |
| D+ | 5 | 0.5% |
| D | 10 | 1.1% |
| D- | 4 | 0.4% |
| F | 15 | 1.6% |
| P | 41 | 4.5% |
| NP | 39 | 4.2% |
| S | 3 | 0.3% |
| W | 51 | 5.5% |
Based on 919 student grade records across 12 terms and 5 professors.
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