Iterations
Iterations overview
An iteration is a recurring work cycle within a phase, primarily used for logging assets (models, datasets, graphs and notes) to document the work and maintain transparency throughout an AI project.
Why use iterations?
Empower Data Scientists to achieve goals, evaluate results, and refine methods with feedback.
Facilitate informed decision-making, knowledge capture, and enhanced collaboration.
Ensure progress preservation, build trust in AI projects, and enable time-saving through efficient cycles.
Last updated