Why Fixing Your Data Can Fix Your Model in Machine Learning

Explore the critical relationship between data quality and machine learning model performance in this 27-minute lecture by Dr. Ce Zhang, associate professor in Computer Science at ETC Zürich. Delve into machine learning's cost problem, understand how data issues directly impact model effectiveness, and learn strategies for identifying and prioritizing crucial data problems. Gain insights on optimizing resources and improving AI outcomes through a data-centric approach, as presented at Snorkel AI's The Future of Data-Centric AI 2022 conference.

Why Fixing Your Data Can Fix Your Model in ML