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Machine Learning methods are on the rise in the scientific and HPC community due to several reasons, e.g. to speed up computations or help researchers to handle lots of data. However, although there are tons of courses on ML-methods, using these methods optimally requires years of experience which most of the users will not or don’t want to gather.

This workshop will teach you AutoML-methods which aim to automate ML-pipelines, thus helping non-experts to use ML-models in (near) optimal ways with a minimum of knowledge required. This workshop aims to introduce AutoML-methods which can be used out of the box and give some theoretical intuition on how they work and what they can be used for.

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