Study

• Machine Learning Students Overfit to Overfitting
• Google Developers - ML Foundational Courses
• Google Developers - ML Guides
• How ML Breaks
• Non-iid Data
• SREcon21 - SRE for ML: The First 10 Years and the Next 10
• SREcon21 - Lessons Learned Using the Operator Pattern to Build a Kubernetes Platform
• SREcon21 - Demystifying Machine Learning in Production: Reasoning about a Large-Scale ML Platform
• OpML ‘20 - How ML Breaks: A Decade of Outages for One Large ML Pipeline
• Avoiding Data Leakage in Timeseries 101
• Explanation on Data Leakage
• Data Leakage in Machine Learning
• Data Leakage in Machine Learning: How it can be detected and minimize the risk
• Data Leakage And Its Effect On The Performance of An ML Model
• Autocorrelation
• Analysts guide to MMM