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Distilling AI #3 - Interpretable Machine Learning
IMPORTANT: (READ BEFORE SIGNING UP) As we previously experienced a huge surplus in demand vs spots available, PLEASE respect the other members by only claiming a spot if you intend to show up, or at least RSVP well in advance on Meetup. Join us for together distilling what it means for machine learning models to be interpretable, its trade-offs and importance for different business applications. Specifically, we will discuss why it's important to interpret a model prediction, how we can define and evaluate interpretability at different scopes, the business implications and how the view of model interpretability alters for different industries. The purpose of these study groups is that the answers are not served upon arrival, instead something we work together upon as a team. We intend to share our intuitions in a shorter summary we can present to the rest of the community, there will be one or two spots available for co-authoring for extra interested participants. Suggested reading: (Subject to change) Chapter 2 of https://christophm.github.io/interpretable-ml-book/

Folksam

Bohusgatan 14 · Stockholm

Respond by: 12/16/2018
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    Stockholm AI is a non profit organisation serving as an open forum to bring industry professionals and researchers in the Stockholm area together to discuss recent and and future developments. We arrange meetups, hackathons, study groups and other events that cover a wide range of topics from the field of AI, with the aim of making Stockholm a natural centre in the world of machine learning.

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