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.

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