Practice Machine Learning Pipelines And Automation (14) - Machine Learning Pipelines and Automation

Practice: Machine Learning Pipelines and Automation

Lesson 14Machine Learning Pipelines and Automation

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8 questions

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2 cards from this section. Quick, good the night before a test.
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6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What is a machine learning pipeline?
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Think about how multiple steps in a process might be automated.
Question 2.
Name one benefit of using ML pipelines.
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Consider why automation is helpful in workflows.
3Question 3.
What is the purpose of a machine learning pipeline?
- To automate ML workflows
- To manually process data
- To visualize data
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Think about what tasks a pipeline helps to simplify.
4Question 4.
True or False: Model deployment is the last step in an ML pipeline.
- True
- False
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Consider the order of steps leading up to this.
Question 5.
Design an ML pipeline for a real-world scenario, such as predicting housing prices, detailing each component and automation tool you would use.
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Think about all the steps from acquiring data to deploying it.
Question 6.
Discuss the potential risks of neglecting monitoring and re-evaluation of deployed models, and propose a strategy to mitigate these risks.
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Consider what happens when the external conditions change.

4 more questions in this section. Enroll free to practise them all.