Raoni Lourenco

Raoni Lourenco

he/his

Research Associate at University of Luxembourg/Snt

Debugging Machine Learning Pipelines

Published in ACM SIGMOD Workshop on Data Management for End-to-End Machine Learning, 2019

This paper discusses practical approaches and challenges for debugging machine learning pipelines, emphasizing the importance of systematic debugging methodologies in ML development.

Recommended citation: Lourenço, R., Freire, J., & Shasha, D. (2019). "Debugging Machine Learning Pipelines." ACM SIGMOD Workshop on Data Management for End-to-End Machine Learning.