Advanced Topics in Machine Learning

Dragsdahl, A. L. S. T. (Participant)
Detlefsen, N. S. (Organizer)

Quantitative Sustainability Assessment
Department of Environmental and Resource Engineering
Cognitive Systems
Department of Applied Mathematics and Computer Science

Activity: Attending an event › Participating in or organising workshops, courses, seminars etc.

Description

Introduction to new trends and advanced topics in machine learning. The course covers key topics in machine learning such as Bayesian parametric and non-parametric inference, optimization, latent variable models, kernel methods, and deep learning.

Period	18 Aug 2025 → 22 Aug 2025
Event type	Course
Location	Lyngby, DenmarkShow on map
Degree of Recognition	International

Keywords

Machine Learning
Optimization
python