Introduction to machine learning from the perspective of economics. Students introduced to modern estimation methods for high-dimensional data, which is illustrated through applications to causal inference and prediction problems in economics, business, and related fields. Students gain experience working with these methods through programming assignments. Course focuses on methodology and its practical application and culminates in an empirical project in which students apply course concepts to real-world data.
8 terms
Other grades
University of California, Santa Cruz
ECON 124 at UCSC: average GPA 3.44 across 281 students. Grade distribution by term. Introduction to machine learning from the perspective of economics…
Average GPA: 3.44
Grade distribution records: 281 students across 8 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 64 | 22.8% |
| A | 60 | 21.4% |
| A- | 42 | 14.9% |
| B+ | 19 | 6.8% |
| B | 13 | 4.6% |
| B- | 6 | 2.1% |
| C+ | 4 | 1.4% |
| C | 9 | 3.2% |
| C- | 4 | 1.4% |
| D | 4 | 1.4% |
| D- | 1 | 0.4% |
| F | 9 | 3.2% |
| P | 22 | 7.8% |
| NP | 10 | 3.6% |
| S | 6 | 2.1% |
| U | 2 | 0.7% |
| W | 6 | 2.1% |
Based on 281 student grade records across 8 terms and 1 professor.
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