2.4.2 Interpreting and Evaluating ML Models: Part II

Course subject(s) Module 2. Crowdsourcing for AI

In these two lectures, we introduce the notion of model interpretability and the role of humans in such a process. Furthermore, we discuss what an explanation is in this context as well as how existing model interpretability methods, like LIME, work.

Interpreting and Evaluating ML Models Part II

Creative Commons License
AI skills for engineers: Data creation and collection by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/data-creation-and-collection-for-artificial-intelligence-via-crowdsourcing/ /
Back to top