design
A model design including problem framing, goal definition and algorithm selection.

data-collection
Model data acquisition including search, selection and transfer.

data-preparation
Model data preparation including data cleaning, labeling and conversion.

training
Model building, training and generalized tuning.

fine-tuning
Refining a trained model to produce desired outputs for a given problem space.

validation
Model validation including model output evaluation and testing.

deployment
Explicit model deployment to a target hosting infrastructure.

inference
Generating an output response from a hosted model from a set of inputs.

other
A lifecycle activity type whose description does not match currently defined values.
