A deep dive into the mathematics of Machine Learning

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The European XFEL in the Hamburg area is a new international research facility of superlatives: 27,000 X-ray flashes per second and a brilliance that is a billion times higher than that of the best conventional X-ray sources open up completely new opportunities for science. Research groups from around the world are able to map the atomic details of viruses, decipher the molecular composition of cells, take three-dimensional “photos” of the nanoworld, “film” chemical reactions, and study processes such as those occurring deep inside planets. European XFEL has a workforce of more than 350 employees and started user operation September 2017. With construction and commissioning costs of 1.25 billion euro (at 2005 price levels) and a total length of 3.4 kilometres, the European XFEL is one of the largest and most ambitious European new research facilities to date. At present, 12 countries have signed the European XFEL convention: Denmark, France, Germany, Hungary, Italy, Poland, Russia, Slovakia, Spain, Sweden, Switzerland, and the United Kingdom.

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A deep dive into the mathematics of Machine Learning

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Presentation slides of of a tutorial talk held at the data analysis satellite workshop of the 2022 European XFEL users' meeting. This tutorial explains ideas and concepts behind the methods of Supervised Learning, Representation Leaning, Mixture Models and Reinforcement Learning. The tutorial offered also Jupyter notebooks as supplementary material for hands-on training, which are published as separate material resource in this pan-training catalogue.

Keywords: machine learning

Target audience: research data scientist, masters students, PhD students

Resource type: slides

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