392180 Maschinelles Lernen im Web (V) (WiSe 2024/2025)

Contents, comment

The increasing availability of electronic information on the web requires novel technologies
to deal with these data. In particular, the algorithms have to deal with big and structured data.
In the lecture, a few topics of relevance in this realm will be tackled, including
graph clustering,
nolinear dimensionality reduction,
link analysis,
streaming algorithms.
The algorithms will be tested in the exercises using Python

The lecture will be given in English

Requirements for participation, required level

foundations in computer science and math, programming skills

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 12-14 H5 07.10.2024-31.01.2025
not on: 12/24/24 / 12/31/24 / 1/28/25

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Subject assignments

Module Course Requirements  
39-Inf-AKS Anwendungen Kognitiver Systeme Maschinelles Lernen im Web oder Modern Data Analysis oder Softcomputing für die Bioinformatik Ungraded examination
Graded examination
Student information
39-Inf-WP-DS Data Science (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-DS-x Data Science (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
- Graded examination Student information
39-Inf-WP-KI Künstliche Intelligenz (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-KI-x Künstliche Intelligenz (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
- Graded examination Student information
39-M-Inf-AI-bas Basics of Artificial Intelligence Basics of Artificial Intelligence: Vorlesung Student information
- Ungraded examination Student information
39-M-Inf-INT-bas Basics of Interaction Technology Basics of Interaction Technology: Vorlesung Student information
- Ungraded examination 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.

Exercises (2LP) and written exam (3LP)

The lecture can be extended to a 5CP module by means of a combination with a project seminar (see module handbook)

E-Learning Space
E-Learning Space
Address:
WS2024_392180@ekvv.uni-bielefeld.de
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Notes:
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Last update basic details/teaching staff:
Friday, June 21, 2024 
Last update times:
Thursday, July 18, 2024 
Last update rooms:
Thursday, July 18, 2024 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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476788642