14.2 - Why Use ML Pipelines?
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Practice Questions
Test your understanding with targeted questions
What does reproducibility mean in machine learning?
💡 Hint: Think about running experiments multiple times and getting consistent results.
Name one benefit of using modular components in ML pipelines.
💡 Hint: Consider the process of changing one part without affecting others.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is one major benefit of using ML pipelines?
💡 Hint: Think about why data scientists want to rerun their experiments.
True or False: Modularity allows you to update one component without affecting others.
💡 Hint: Consider what happens when you change parts of a machine.
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Challenge Problems
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Design a scenario for an ML project that lacks reproducibility and discuss potential issues.
💡 Hint: Think about what happens when multiple people do not follow a common standard.
Propose a solution for enhancing collaboration among a team working on an ML pipeline.
💡 Hint: Reflect on how teams in software development collaborate and keep track of updates.
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