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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a loss function?
💡 Hint: Think about what happens when predictions are not accurate.
Question 2
Easy
Name one type of loss function used for regression.
💡 Hint: Think about how we measure squared differences.
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 does a loss function do?
- Measures performance
- Overrides predicted values
- Automatically trains models
💡 Hint: It's a measuring stick for performance!
Question 2
True or False: Cross-Entropy Loss is used for regression tasks.
- True
- False
💡 Hint: Think about the type of data you're working with.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a dataset from a house pricing model where predictions are consistently underestimated. Explain how MSE could help you improve this model. What actions could be explored using this information?
💡 Hint: Consider how you can learn from the error measurements.
Question 2
Discuss the implications of using L1 regularization versus L2 regularization on the loss function in a predictive model. How do each approach potentially affect the complexity of your model?
💡 Hint: Think of these penalties as shaping how your model learns from the data.
Challenge and get performance evaluation