Practice Parameter Adaptation (10.5.3) - Causality & Domain Adaptation
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Parameter Adaptation

Practice - Parameter Adaptation

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is parameter adaptation?

💡 Hint: Think about the purpose of adapting a model.

Question 2 Easy

Name one technique used in parameter adaptation.

💡 Hint: Focus on what we've discussed in class.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary aim of parameter adaptation?

To reduce model size
To improve model performance on new data
To increase training time

💡 Hint: Think about the challenges models face with new data.

Question 2

True or False: Fine-tuning involves retraining a model without any new data.

True
False

💡 Hint: Consider what happens when you utilize existing models.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a model trained on medical images from one hospital. Patients from a different hospital have unique imaging characteristics. How would you use parameter adaptation to improve your model's performance?

💡 Hint: Consider the importance of relevant training data.

Challenge 2 Hard

A company wants to improve a predictive model originally trained on historical sales data but is now applying it to a different region with different customer behaviors. Discuss the adherence to Bayesian principles in this context.

💡 Hint: Think about how new evidence can change predictions.

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Reference links

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