Event Time
Event Time in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Data contracts, ownership, and lineage
Use data contracts, ownership, and lineage to move the data & features production brief toward a defensible release.
Data & feature foundationsPoint-in-time-correct features
Use point-in-time-correct features to move the data & features production brief toward a defensible release.
Data & feature foundationsFeature transformations that survive production
Use feature transformations that survive production to move the data & features production brief toward a defensible release.
Sequence ML: RNNs, GRUs & LSTMsSequences are not IID
Use sequences are not iid to move the sequence models production brief toward a defensible release.
Sequence ML: RNNs, GRUs & LSTMsRecurrent state and BPTT
Use recurrent state and bptt to move the sequence models production brief toward a defensible release.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.