Sanne van den Bogaart
For the past 3 years I have been working as a Data Science consultant at Pipple. Since Pipple is active in multiple different sectors, I have had the opportunity to do many different projects. What I have discovered is that explainability of the machine learning used was a critical topic in all of these projects. Fortunately, frameworks like LIME have emerged to provided this much needed explainability. I am excited to discuss more about LIME at the upcoming 2024 PyData Eindhoven conference.
Sessions
LIME, a model-agnostic AI framework, illuminates the path to local explainability, primarily for classification models. Delving into the theory underpinning LIME, we explore diverse use cases and its adaptability across various scenarios. Through practical examples, we showcase the breadth of applications for LIME. By the presentation's conclusion, you'll have gained insights into leveraging LIME to clarify individual prediction logic, leading to more accessible explanations.