Learn Before
Choose Pipeline Stages You Can Train
When designing a multi-stage system instead of an end-to-end model, assess whether enough relevant training examples can be collected for each proposed learned stage. A stage whose required data is too difficult or costly to obtain may be impractical, while non-learned stages do not require this training-data check.
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Use an Intermediate Detector When It Simplifies the Next Step
In a modular machine learning pipeline, what two design choices must be made first?
If a team does not build an end-to-end model, it no longer needs to decide how the system is divided into stages.
When a machine-learning task is split into several stages, you must design the _____ and decide how each stage passes information to the next.
Match each system-design term to its description.
Order the steps for designing a machine learning system that is not end-to-end.
In a multi-stage machine learning system, what does it mean for one stage to 'feed into' the next stage?
True or False: When you design a pipeline that is not end-to-end, you must choose both the individual stages and the way information moves from one stage to the next.
When assembling a multi-step workflow, you still need to decide how the pieces should _____ together.
Match each pipeline design scenario to the decision it illustrates.
Order the steps for deciding whether to build a modular machine learning pipeline.
Two Design Choices in a Modular Machine Learning Pipeline
Designing a Modular ML Workflow
Key Design Choices in a Modular ML System
Choose Pipeline Stages You Can Train
Learn After
When Abundant Labels for Substeps Support a Staged Design
What factor should guide how you divide a modular prediction system into components?
Labeled data access can shape component choices in a modular system.
Choose components where training data can be collected _____.
Match each modular-system term with its meaning in pipeline planning.
Order the reasoning used to decide which pipeline modules should be trained from data.
Why training-data availability should affect pipeline component choice
Select a pipeline component using training-data availability.
Checking Data Readiness for a Pipeline Step
Which option best fits a component that needs easy-to-gather training examples?
Training Data Availability Should Be Checked When Choosing a Component