Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
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Publications A Library of relevant scientific and academic publications, including books, web articles and scientific papers addressing the themes of Benchmarks, Data Analytics, Machine Learning and Optimization. |
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Algorithms A set of selected, reviewed and commented on algorithms related to machine learning and optimization. This resource is accessible to students, lecturers, researchers, and professionals who wish to explore algorithms in optimization, machine learning, and data analysis. |
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Benchmark A set of Benchmarks related to learning and optimization algorithms are available for free use and have the purpose to compare the performance of different algorithms. The available resources help in identifying strengths, weaknesses, and areas for improvement of machine learning and optimization algorithms. |
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Learning Indicators A set of selected and reviewed learning indicators to be used by lecturers to evaluate their student’s progress. These resources offer a comprehensive database of performance metrics to assess students' progress throughout their math learning journey. With these tools, lecturers can gain a better understanding of their students' needs and identify areas where students may have more or less difficulties. |