HELP

What types of Machine Learning, if any, best describe the following scenario: A coin classification system is created for a vending machine. An algorithm is presented with a large dataset containing images of coins which are labeled. The algorithm uses this data to learn decision boundaries that allow the vending machine to then classify each coin. Unsupervised Learning Reinforcement Learning Not a machine learning scenario Supervised Learning What types of Machine Learning, if any, best describe the following scenario: A computer develops a strategy for playing Tic-Tac-Toe repeatedly. The computer learns through trial-and-error search where it adjusts its strategy based on reward received for each observerd state and performed action. Unsupervised Learning Reinforcement Learning Supervised Learning Not a machine learning scenario Which of the following are problems are suited for an unsupervised learning approach? Reducing a dataset's features by finding/learning only the most important features. A dataset of emails with the labels of spamot spam A dataset of images without any labels. A dataset of images which contains both labeled and unlabled data. Given a basic binary or multi-class supervised learning classification problem which of the following would the output/prediction values take on? y{0,1}yRy{0,1,2,3,4,5}yRd Given a basic supervised learning regression problem which of the following would the output/prediction values take on? y{0,1}yRy{0,1,2,3,4,5}