Foundations of Machine Learning
The course runs from 9:00-17:00 at the University IT and Data Center (Hochschulrechenzentrum HRZ). The course structure is 90 minutes of lecture and 90 min exercises, followed by 4 hrs of programming under guidance from the tutors.
Python skills are required. Work through the Python tutorial at https://docs.python.org/3/tutorial/ before the first day.
Part 1, Mathematical Key Concepts
Part 2, Foundations of Machine Learning
Part 3, Using HPC Systems
Part 4, Deep Learning
See you during the course,
Your lecturers Lokesh, Elena, and Moritz.
This course is funded by the BMBF projects BntrAInee and WestAI.
Python skills are required. Work through the Python tutorial at https://docs.python.org/3/tutorial/ before the first day.
Part 1, Mathematical Key Concepts
Part 2, Foundations of Machine Learning
Part 3, Using HPC Systems
Part 4, Deep Learning
See you during the course,
Your lecturers Lokesh, Elena, and Moritz.
This course is funded by the BMBF projects BntrAInee and WestAI.
Time
Wednesday, 10.09.25
– Friday, 26.09.25
Topic
Machine Learning
Speaker
Elena Trunz, Lokesh Veeramacheneni and Moritz Wolter
Target groups
Students
Researchers
Languages
Engish
Location
University IT and Data Center (Hochschulrechenzentrum HRZ), Institute for Computer Science Computer Room U.1.012
Room
HRZ Ground floor computer Pool and Institute for Computer Science Computer Room U.1.012
Admission price
free
Spots
30
Reservation
required
Registration/Ticket
Organizer
Moritz Wolter
Contact