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Machine learning master thesis germany

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Innovation is in our blood. What about you? Work at — and with — Daimler on your thesis for your Bachelor's or Master's degree. Wir beraten Sie gerne zu allgemeinen Fragen. Wie zufrieden waren Sie mit der Richtigkeit und Bearbeitungszeit des Anliegens?
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Machine Learning - Master

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Master Thesis: Modeling and Analysis of Energy Systems Using Modern

A non-exhaustive list of open topics is listed below. If you are interested in a thesis or a guided research project, please send your CV and transcript of records to Prof. Graph neural networks GNNs have recently achieved great successes in a wide variety of applications, such as chemistry, reinforcement learning, knowledge graphs, traffic networks, or computer vision. These models leverage graph data by updating node representations based on messages passed between nodes connected by edges, or by transforming node representation using spectral graph properties. These approaches are very effective, but many theoretical aspects of these models remain unclear and there are many possible extensions to improve GNNs and go beyond the nodes' direct neighbors and simple message aggregation. Contact: Simon Geisler.
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Master Thesis: Modeling and Analysis of Energy Systems Using Modern Machine Learning Models

Machine Learning is increasingly used by many professions and industries such as manufacturing, retail, medicine, finance, robotics, telecommunications and social media. Graduates from the programme will be experts in the field, qualified for exciting careers in industry or doctoral studies. Information for admitted students is available at New at KTH. Application for studies starting opens in October. Subscribe to our newsletter and we'll remind you when it opens.
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IEK focuses on the optimal design and operation of integrated, decentralized energy systems with a high share of renewable energy. Computer simulation and numerical optimization are our essential tools to arrive at efficient, reliable and cost-effective solutions. We contribute both to the development of mathematical models and to the development of improved simulation methods and optimization algorithms.
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