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3rd Leibniz MMS Summer School

Mathematical Methods for Machine Learning

August 23, 2021 - August 27, 2021


Symbol Image Machine Learning
In the last years, modern Machine Learning (ML) and in particular Deep Learning (DL) methods, have revolutionized many application areas (e.g. image recognition, natural language processing, etc.) in research and industry. These methods have also started to being used in the field of scientific computing to speed up simulations, interpret measurement and simulation data and to recover dynamics.

In this school, fundamental and advanced aspects of ML methods are presented with the aim to enable the participants the application of such methods to their specific research problems. The topics that will be discussed include kernel methods and Gaussian processes, Bayesian inference, deep Neural Networks and Reinforcement Learning. In addition to daily lectures, the participants will get the opportunity to become familiar with the presented methods in accompanying practical lab sessions.


Program; Registration

Further details on program and registration procedure will soon be published here.


Organisers: