AI, machine learning & data science
Choose a subject and follow its lessons.
Time Series Tutorial
Forecast ordered data with explicit calendars, causal features, baselines, rolling evaluation and release checks.
Time Series: Projects
A checked project for the Time Series curriculum.
Recommendation Systems Tutorial
Design a guarded recommendation feed with explicit exposure data, candidate coverage, sparse-user fallbacks and temporal evaluation.
Recommendation Systems: Projects
A checked project for the Recommendation Systems curriculum.
Causal Inference Tutorial
Define causal effects, defend comparison designs and test the assumptions behind intervention decisions.
Causal Inference: Projects
A checked project for the Causal Inference curriculum.
Computer Vision Tutorial
Build image systems with explicit labels, reversible geometry, grouped evaluation and threshold-specific failure review.
Computer Vision: Projects
A checked project for the Computer Vision curriculum.
Streaming Analytics Tutorial
Process event streams with versioned contracts, event-time windows, late corrections, replay-safe sinks and batch parity.
Streaming Analytics: Projects
A checked project for the Streaming Analytics curriculum.
Graph Machine Learning Tutorial
Model typed relationships with historical graph snapshots, honest link tests, sparse-node evaluation and consistent serving.
Graph Machine Learning: Projects
A checked project for the Graph Machine Learning curriculum.