Case Study

Case Study: Choosing a technical path for a computer vision project

Case context: A small team is building a system to detect defects in factory photos, but the engineers disagree about which model architecture and data pipeline to prioritize first.

Question: What should the team use to guide its technical choices, and what is the benefit of doing so?

Sample answer: The team should use machine learning strategy to set the technical direction of the project. A strategy framework helps the team compare options, focus on the most important decisions, and avoid making ad hoc choices without a clear plan.

Key points:

  • Machine learning strategy helps choose technical direction
  • The team has an open technical decision to resolve
  • A strategy framework supports clearer and more informed choices

Rubric: Full credit for identifying machine learning strategy as the right guide and explaining that it helps direct technical decisions; partial credit for a partially correct connection; no credit for unrelated advice.

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Updated 2026-08-12

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Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Strategy

Machine Learning Yearning @ DeepLearning.AI