392141 Additional Tutorial: Introduction to Machine Learning (int. Track)" (Ü) (WiSe 2024/2025)

Contents, comment

This additional tutorial is optional as regards participation and its purpose is to clarify questions regarding the lecture.
We will start 16:00 sharp (s.t.) and meet online via zoom:
https://uni-bielefeld.zoom-x.de/j/69130429658?pwd=RlBMMHlXd3RnTGNPYkx0UHBTOHhzZz09

The first meeting is on 19.10.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Do 16-18 ONLINE   07.10.2024-31.01.2025

Hide passed dates <<

Subject assignments

Module Course Requirements  
31-SW-AKStat Ausgewählte Kapitel der Statistik Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 2 LP Study requirement
Student information
39-Inf-ML Grundlagen Maschinelles Lernen Grundlagen Maschinellen Lernens Student information
39-M-Inf-AI-bas Basics of Artificial Intelligence Basics of Artificial Intelligence: Übung (Alternative) 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.


No more requirements
No eLearning offering available
Registered number: 26
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.
Limitation of the number of participants:
Limited number of participants: 25
Address:
WS2024_392141@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_476784499@ekvv.uni-bielefeld.de
Coverage:
26 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, August 30, 2024 
Last update times:
Monday, September 30, 2024 
Last update rooms:
Monday, September 30, 2024 
Type(s) / SWS (hours per week per semester)
exercise (Ü) / 2
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=476784499
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
476784499