1. What is the key difference between supervised and unsupervised learning? Provide an example for each.
2. What is “overfitting” in a machine learning model, and why is it a problem?
3. Describe the three main components of reinforcement learning: agent, environment, and reward.
4. How does a training dataset differ from a testing dataset, and why is this separation important?
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