Data Drift Courses
MLOps.community via YouTube AWS ML Engineer Associate 4.1 Monitor Model Performance and Data Quality (Simplified Chinese)
Amazon Web Services via AWS Skill Builder One Analysis a Day Keeps Anomalies Away - Detecting and Analyzing Data Anomalies
EuroPython Conference via YouTube How Your ML Model Will Fail - And How to Prepare For It
Toronto Machine Learning Series (TMLS) via YouTube Minimize Risk and Accelerate MLOps with ML Monitoring and Explainability
Toronto Machine Learning Series (TMLS) via YouTube The Missing Piece of MLOps: Observability in Machine Learning Applications
Toronto Machine Learning Series (TMLS) via YouTube A Guide to Putting Together a Continuous ML Stack
Toronto Machine Learning Series (TMLS) via YouTube Your First Data Science Project: Planning for Success
Data Science Festival via YouTube The Next Frontier - Observability in ML Systems
Conf42 via YouTube Introduction to Drifter ML: A Testing Framework for Machine Learning Models
MLOps World: Machine Learning in Production via YouTube