Overview of artificial intelligence (AI) and machine learning (ML) and principles, implementation and deployment pipeline, and approaches in solving domain-related problems. Topics covered through direct instruction, invited guest speakers, reviews of state-of-art research papers, and a team project. Students are given an opportunity to work on a quarter-long AI/ML project to be counted toward their master's degree project requirements. Enrollment is by instructor consent. Prior experience in machine learning and deep learning is required. (Formerly AI: Problem Solving and Intelligent Search.)
3 terms
Other grades
University of California, Santa Cruz
CSE 247 at UCSC: average GPA 3.70 across 66 students. Grade distribution by term. Overview of artificial intelligence (AI) and machine learning (ML) and…
Average GPA: 3.70
Grade distribution records: 66 students across 3 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 5 | 7.6% |
| A | 26 | 39.4% |
| A- | 9 | 13.6% |
| B+ | 5 | 7.6% |
| B | 5 | 7.6% |
| F | 1 | 1.5% |
| S | 12 | 18.2% |
| U | 3 | 4.5% |
Based on 66 student grade records across 3 terms and 2 professors.
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