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2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), 2019
Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems remains very challenging. Data scientists need to evaluate various learning algorithms and tune their numerous parameters, based on their assumptions and experience, against concrete problems and training data sets.
Thomas Hartmann 0001 +4 more
openaire +2 more sources
Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems remains very challenging. Data scientists need to evaluate various learning algorithms and tune their numerous parameters, based on their assumptions and experience, against concrete problems and training data sets.
Thomas Hartmann 0001 +4 more
openaire +2 more sources