392245 Hot Topics in Machine Learning (PjS) (WiSe 2021/2022)

Contents, comment

Trends and tides of machine learning

In this seminar, we will learn about current trends and long-term tides in machine learning research. In each session, we will watch a research talk or tutorial and, in the remaining time, discuss the talk and how it relates to AI research in the bigger picture. Credits can be obtained by preparing and moderating the discussions.

The first session is on October 7th. We will start by watching the 2018 Turing Award lectures by Geoffrey Hinton and Yann Lecun.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Subject assignments

Module Course Requirements  
39-Inf-EGMI Ergänzungsmodul Informatik vertiefendes Seminar 1 Ungraded examination
Student information
vertiefendes Seminar 2 Ungraded examination
Student information
vertiefendes Seminar 3 Ungraded examination
Student information
vertiefendes Seminar 4 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.


No more requirements

E-Learning Space

A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:

Registered number: 9
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: 20
Address:
WS2021_392245@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_296169713@ekvv.uni-bielefeld.de
Coverage:
8 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 0
Open email archive
Last update basic details/teaching staff:
Tuesday, July 13, 2021 
Last update times:
Thursday, August 12, 2021 
Last update rooms:
Thursday, August 12, 2021 
Type(s) / SWS (hours per week per semester)
PjS / 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=296169713
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
296169713