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The ixAutoML project focuses on enhancing automated machine learning by integrating human interaction and trust. It aims to explain machine learning processes and results, allowing users to leverage their intuition alongside automated optimization, particularly in Industry 4.0 applications.
Trust and interactivity are key factors in the future development and use of automated machine learning (AutoML), supporting developers and researchers in determining powerful task-specific machine learning pipelines, including pre-processing, predictive algorithm, their hyperparameters and--if applicable--the architecture design of deep neural networks.
Although AutoML is ready for its prime time after it achieved impressive results in several machine learning (ML) applications and its efficien…
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
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