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Root number
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442173 |
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Semester
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HS2024 |
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Type of course
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Lecture |
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Allocation to subject
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Computer Science |
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Type of exam
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Written exam |
| Title |
Machine Learning |
| Description |
This course covers fundamental topics in machine learning and pattern recognition. The course will provide an introduction to supervised learning, unsupervised learning, and reinforcement learning. The topics are introduced through a probabilistic formulation. The approach used throughout the course is mostly based on optimization. However, it is not necessary to have a background in optimization as the methods presented will be self-contained.
-- General information --
We will also try to stream the class live via ILIAS (if the resources allow).
Also, we will record the classes and make the recordings
available as podcasts in ILIAS. Attendance is not mandatory but strongly
recommended as the classes will be interactive. |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Paolo Favaro, Institute of Computer Science ✉
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ECTS
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5 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
| |
| Dates |
Wednesday 13:15-16:00 Weekly
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|
Wednesday 8/1/2025 10:00-12:00
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| Rooms |
Hörsaal A006, Exakte Wissenschaften, ExWi
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Hörsaal B006, Exakte Wissenschaften, ExWi
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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