Practice Automation in ML Pipelines - 14.4 | 14. Machine Learning Pipelines and Automation | Data Science Advance
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Automation in ML Pipelines

14.4 - Automation in ML Pipelines

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main purpose of automation in ML pipelines?

💡 Hint: Think about how tasks can be performed without human work.

Question 2 Easy

Name one tool used for scheduling in ML pipelines.

💡 Hint: This tool helps manage the order of tasks.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal of automation in ML pipelines?

To eliminate human involvement
To enhance efficiency
To reduce costs

💡 Hint: What does automation usually improve?

Question 2

True or False: MLflow is primarily used for deploying models.

True
False

💡 Hint: What aspect does MLflow focus on?

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an automation plan for a machine learning project that includes data ingestion, model training, and deployment stages, specifying tools for each stage.

💡 Hint: Think about real tools that fit into each segment.

Challenge 2 Hard

Discuss how you would implement monitoring for a deployed ML model to ensure it adapts to data drift.

💡 Hint: Consider the metrics you would need to monitor continuously.

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