Data, evaluation, and MLOps
ML
Separate regression, classification, evaluation, drift, and deployment pipelines; Azure ML is supplementary, not complete AZ exam coverage.
- 01Read lesson
Extended learning · Beginner
Data splits and baselines: machine learning starts with problem definition
Separate train, validation, test, leakage, and simple baselines so you do not over-interpret experiments.
Data SplitBaselineML - 02Read lesson
Extended learning · Beginner
Classification evaluation: tradeoffs beyond accuracy
Understand confusion matrices, precision, recall, thresholds, and business cost.
ClassificationEvaluationMetrics - 03Read lesson
Extended learning · Intermediate
MLOps monitoring: from a model file to a maintainable system
Understand model registration, deployment, drift, post-deployment review, and human review.
MLOpsDriftAzure ML