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**Question 2:** Describe the difference between supervised, unsupervised, and reinforcement learning. Give a practical application of each. *Supervised learning* involves training a model on labeled data, where the input and corresponding output are known. A practical application is predicting customer churn based on historical data. *Unsupervised learning* involves training a model on unlabeled data, where the goal is to discover patterns and relationships. A practical application is customer segmentation based on purchasing behavior. *Reinforcement learning* involves training an agent to make decisions in an environment to maximize a reward signal. A practical application is training a robot to navigate a warehouse.
