2020-12: Interpretierbarkeit von Machine Learning von Modellen

from Medical Device Insights · host Christoph Molnar, Prof. Dr. Christian Johner

Christoph Molnar spricht mit Professor Johner über die Interpretierbarkeit von Machine Learning, über typische Fehler dabei und Lösungsansätze. Sie besprechen dabei auch die Literatur, die tw. unten verlinkt ist.

Episode metadata supplied by the publisher feed · Published Nov 17, 2020

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2020-12: Interpretierbarkeit von Machine Learning von Modellen

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