Learn Before
Designing Non-End-to-End Pipelines
If one chooses not to use an end-to-end system, one must decide what steps the pipeline should contain and how those steps should connect.
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Machine Learning
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Learn After
Task Simplicity for Pipeline Component Selection
When designing a non-end-to-end pipeline, which two decisions must a practitioner make?
Choosing not to use an end-to-end system eliminates the need to make architectural decisions about your ML system.
If you choose not to use an end-to-end system, you must decide what steps are in your _____ and how they should plug together.
Match each pipeline design term to its correct description.
Arrange the design activities a practitioner follows when building a non-end-to-end ML pipeline.
In ML Yearning, what does deciding 'how steps plug together' primarily refer to in a non-end-to-end pipeline?
Designing a non-end-to-end pipeline requires deciding both what steps to include and how those steps connect to each other.
According to ML Yearning, after deciding what steps a pipeline contains, you must determine how they should _____ together.
Match each pipeline design scenario to the specific decision it illustrates.
Order the reasoning steps a practitioner uses when deciding whether and how to design a non-end-to-end pipeline.
Core Decisions in Non-End-to-End Pipeline Design
Structuring an Alternative Pipeline System
Primary Decisions for Non-End-to-End Pipelines