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The mythos of model interpretability

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Zachary C. Lipton
Communications of the ACM 61(10), pages 36–43
October 2018

In machine learning, the concept of interpretability is both important and slippery.

journal or series
book Communications of the ACM (CACM)

The mythos of model interpretability
— status
published
— sort
article in journal
who
— authors
Zachary C. Lipton
where & when
— publication date
October 2018
— journal
Communications of the ACM
— volume no.
61
— issue
10
— pages
36–43
— number of pages
8
— publisher
Association for Computing Machinery
URL
URL
identifiers
— ACM Digital Library
10.1145/3233231
— DOI
10.1145/3233231
APICe
— journal or series
Communications of the ACM