Explainable AI: Demystifying Complex Models with Shapley Values
surya dev (~surya6) |
Description:
Delve into the realm of explainable artificial intelligence (XAI) in this hands-on tutorial. Understand the importance of transparency and trustworthiness in AI systems, and learn how Python's rich library ecosystem enhances AI interpretability. Explore key metrics and evaluation methods for XAI techniques, equipping you to build more understandable, accountable, & unbiased AI systems in Python.
Prerequisites:
Basic understanding of python and machine learning models
Speaker Info:
Surya is a senior data engineer in the Data and AI Team working at Körber , a market leader in AI-driven manufacturing & supply chain and number one innovation hub in Germany. I have multiple years of experience in Python and Machine learning experience, where I am now looking more into the data engineering side. Always looking to learn new things and share it with people.
Speaker Links:
https://www.linkedin.com/in/surya-dev-01410072/