Practice - Loss Function (Supervised Learning)
Practice Questions
Test your understanding with targeted questions
What is a loss function?
💡 Hint: Think about what happens when predictions are not accurate.
Name one type of loss function used for regression.
💡 Hint: Think about how we measure squared differences.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does a loss function do?
💡 Hint: It's a measuring stick for performance!
True or False: Cross-Entropy Loss is used for regression tasks.
💡 Hint: Think about the type of data you're working with.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.