concept#Machine Learning#Artificial Intelligence#Data

Model Training

Process by which a machine learning model learns parameters from data to enable generalizable predictions.

Model training describes the process by which a machine learning model learns parameters from training data and includes data preparation, optimization, validation, hyperparameter tuning, and evaluation.

Maturity

Established

Cognitive loadMedium

360° overview

Model Training

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Model Training

360°

Classification

2

Complexity: Medium
Impact area: Technical

Technical context

2

Integrations

Data storage (e.g., S3, data lake)

+2

Principles & goals

1

Reproducibility: version training runs, data and hyperparameters.

Value stream stage: Build

Use cases & scenarios

4

Use cases: 3
Scenarios: 3

Compromises

3

Risks: 3
Best practices: 3

I/O & resources

4

Inputs: 3
Outputs: 3