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[Infographic] Workflow to label your ML data in-house

[Infographic] Workflow to label your ML data in-house

Data labeling is a crucial part of supervised machine learning modeling.

Your in-house data or data acquired from external sources must be cleaned, labeled, and annotated to effectively train, test, and validate your machine learning mo…

What Affects Training Data quality

What Affects Training Data quality

Success in any form of tech-driven product or service is influenced by three main actors:

  • People: skilled employees who are given well-defined roles to train data.
  • Process: a system that guides people to move …