4. How can DAGs help manage complex ML workflows?

  • DAGs define clear dependencies between data preprocessing, training, and evaluation steps.
  • Topological sorting ensures tasks run in correct order automatically.
  • Simplifies debugging and visualization of pipeline execution.
  • Enables parallel execution of independent tasks for efficiency.
  • Facilitates maintainable and extendable pipeline architectures.

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