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Supervised Learning Quiz

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1. What is the main difference between supervised and unsupervised learning?

2. What does a loss function do in supervised learning?

3. What is a common method used in supervised learning to avoid overfitting?

4. In supervised learning, what do we use the validation set for?

5. What type of tasks is supervised learning generally used for?

6. Which of the following is an example of a supervised learning algorithm?

7. What is the purpose of the learning rate in gradient descent, a popular optimization algorithm used in supervised learning?

8. What is the purpose of a test set in supervised learning?

9. In supervised learning, what is the difference between a parametric model and a non-parametric model?

10. In the context of supervised learning, what is the bias-variance tradeoff?