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Interpretability and Explainability of ML Models Bootcamp: Call for Participation

February 13 @ 1:00 pm - 2:30 pm

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This bootcamp will focus on techniques, tools, and frameworks for understanding, explaining, and evaluating AI decisions.

It will follow a two-phase project structure: a learn phase to introduce participants to state-of-the-art interpretability methods, and a build phase to implement and apply these techniques to real-world AI use cases.

Technical Lab: March 26-27, 2025 | Educational sessions on state-of-the-art methods. Demonstrations and tutorials.

Bootcamp: April 23-25, 2025 | Three-day bootcamp focused on interpretability and explainability techniques. Participants will implement their AI use cases and explore cutting-edge methods.

Registrants can opt out of the Bootcamp and attend only the Technical Lab.

 

Disclaimer: This event is open to Vector Sponsors, FastLane companies, Vector Researchers, and invited health partners only. If a registration is found not to be eligible, it will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact learn@vectorinstitute.ai with any questions.