392034 Statistical foundations of machine learning (Ü) (SoSe 2025)
Contents, comment
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The course will be delivered by Alejandro Hernandez-Wences, but the start will be delayed due to unpredictable visa delays. There is even a certain (small....) risk that the course won't take place at all. Students who definitely need the course for their study plans should please look for an alternative.
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The main building blocks of the course are the following:
- Brief review of probability
- Notions of convergence for random variables
- The big picture of classical statistical inference
- The big picture of Bayesian statistical inference
- Point Estimation
- Hypothesis TestingAdditionally, during the course, we will point to connections with
the machine learning paradigm.
Requirements for participation, required level
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Students are expected to have attended previous courses on probability and calculus (univariate and multivariate).
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 16-18 | V4-106 | 07.04.-18.07.2025 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-WP-SSC Scientific and Soft-Computing (Basis) | Begleitende Übungen | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Registered number: 10 (1)
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2025_392034@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_511630177@ekvv.uni-bielefeld.de
- Coverage:
- 8 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Tuesday, May 13, 2025
- Last update times:
- Wednesday, January 8, 2025
- Last update rooms:
- Wednesday, January 8, 2025
- Type(s) / SWS (hours per week per semester)
- exercise (Ü) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=511630177
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- ID
- 511630177