Subject description - AE4M33SAD
Summary of Study |
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Explanatory Notes
Instructions
| AE4M33SAD | Machine Learning and Data Analysis | ||
|---|---|---|---|
| Roles: | Extent of teaching: | 2P+2C | |
| Department: | 13136 | Language of teaching: | EN |
| Guarantors: | Completion: | Z,ZK | |
| Lecturers: | Credits: | 6 | |
| Tutors: | Semester: | Z | |
Web page:
https://cw.felk.cvut.cz/wiki/courses/a4m33sad/startAnotation:
The class is taught jointly in English with M33SAD. See the latter for course info.Study targets:
The class is taught jointly in English with M33SAD. See the latter for course info.Course outlines:
The class is taught jointly in English with M33SAD. See the latter for course info.Exercises outline:
The class is taught jointly in English with M33SAD. See the latter for course info.Literature:
The class is taught jointly in English with M33SAD. See the latter for course info.Requirements:
The class is taught jointly in English with M33SAD. See the latter for course info.Keywords:
clustering, frequent patterns, classifier, PAC-learning Subject is included into these academic programs:| Program | Branch | Role | Recommended semester |
| Page updated 30.4.2025 17:53:34, semester: Z/2026-7, L/2025-6, L/2026-7, Z/2025-6, Z,L/2024-5, Send comments about the content to the Administrators of the Academic Programs | Proposal and Realization: I. Halaška (K336), J. Novák (K336) |