# Where Data Sits in the ML Pipeline: Collect, Label, Train, Evaluate, Deploy Loop

> Source: https://sukruyusufkaya.com/en/learn/veri-etiketleme-kalite/ml-pipeline-veri-yeri-dongusu
> Updated: 2026-05-13T12:53:32.222Z
> Category: Veri Etiketleme & Kalite Yönetimi
> Module: Module 1: The Anatomy of Data Labeling
**TLDR:** Full lifecycle of an ML system: collect → label → train → eval → deploy → monitor → re-collect. Each stage's relationship with labeling, the feedback loop, continuous improvement, and why the data flywheel is modern AI's main competitive advantage.