Practice Tools for Monitoring - 20.4.3 | 20. Deployment and Monitoring of Machine Learning Models | Data Science Advance
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Tools for Monitoring

20.4.3 - Tools for Monitoring

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is data drift?

💡 Hint: Think about changes in patterns of incoming data.

Question 2 Easy

Name one tool for monitoring machine learning models.

💡 Hint: One tool is an open-source monitoring system.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of monitoring machine learning models?

To improve model accuracy
To ensure models adapt to data changes
To visualize data

💡 Hint: Consider the reasons for deploying a model continuously.

Question 2

True or False: Concept drift refers to changes in data distribution.

True
False

💡 Hint: Remember the definitions of drift types.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a monitoring strategy for a new image recognition model deployed in a live environment. What tools would you use and why?

💡 Hint: Think about how each tool contributes to monitoring.

Challenge 2 Hard

Evaluate the implications of a model not being monitored over a six-month period in a rapidly changing data environment.

💡 Hint: Consider what happens to models as data changes.

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