Exercise 7. (2.5 points) What types of Machine Learning, if any, best describe the following three scenarios: A coin classification system is created for a vending machine. The developers obtain exact coin specifications from the U.S. Mint and derive a statistical model of the size, weight, and denomination, which the vending machine then uses to classify coins; . Instead of calling the U.S. Mint to obtain coin information, an algorithm is presented with a large set of labeled coins. The algorithm uses this data to infer decision bound- aries which the vending machine then uses to classify its coins; Computer develops a strategy for playing Tic-Tac-Toe by playing repeatedly and ad- justing its strategy by penalizing moves that eventually lead to losing