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Core Decisions in Non-End-to-End Pipeline Design
Question: Based on the principles of designing non-end-to-end pipelines, explain the two essential decisions a practitioner must make when structuring their machine learning system.
Sample answer: When structuring a non-end-to-end system, a practitioner must first decide what steps the pipeline should contain. Second, they must decide how those steps should connect or plug together.
Key points:
- Deciding what steps the pipeline contains
- Deciding how the steps connect or plug together
- Structuring a non-end-to-end machine learning system
Rubric: The essay should clearly explain the decision regarding what steps the pipeline contains and the decision regarding how those steps connect/plug together.
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Machine Learning
Deep Learning
Supervised Learning
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Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
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Core Decisions in Non-End-to-End Pipeline Design
Structuring an Alternative Pipeline System
Primary Decisions for Non-End-to-End Pipelines