University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Cynthia Rudin. Scoring systems: At the extreme of interpretable machine learning

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Cynthia Rudin. Scoring systems: At the extreme of interpretable machine learning

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact nobody.

MDLW05 - Interpretability, safety and security in AI

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

CCLP Friends of Milton Country Park Cambridge University Kendo Society

Other talks

Model based deep learning: Applications to imaging and communications Decoding and Recoding the Opposing Roles of Interferon and Pattern Recognition Receptor Signaling in Cancer Immunotherapy Aortic disease in Marfan syndrome: new molecular drivers and therapeutic targets (postponed from Nov 21) Plenary – Catch-up on Challenges and New Groups Formations Gravitational waves: space-time mavericks in the cosmos.
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity