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Practice Questions
Test your understanding with targeted questions related to the topic.
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.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
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.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation