Supervised learning, unsupervised learning, and reinforcement learning are three types of machine learning algorithms. - Supervised learning uses labeled data to train models. - Unsupervised learning uses unlabeled data to train models. - Reinforcement learning uses rewards to train models. Supervised learning is used for classification and regression problems. Unsupervised learning is used for clustering and association problems. Reinforcement learning is used for gaming and robotics.
What are the three types of machine learning algorithms?
What is the goal of reinforcement learning?
Which of the following is not an example of a reinforcement learning application: customer segmentation, gaming, stock price analysis, or weather prediction?