I am new to mechanical training. When reading about supervised training, unsupervised training, reinforcement training, I came across a question as shown below and got confused. Please help me in the definition below, three of which are supervised learning, uncontrolled learning, reinforcement learning.
What types of training, if any, are best described by the following three scenarios:
(i) A coin classification system is being created for the vending machine. To do this, developers obtain accurate coin specifications from the US Mint and obtain a statistical model of size, weight and denomination, which the machine then uses to classify its coins.
(ii) Instead of calling a US coin to get information about a coin, the algorithm is represented by a large set of labeled coins. The algorithm uses this data to infer the boundaries of the solution, which the vending machine then uses to classify its coins.
(iii) The computer develops a strategy for playing Tic-Tac-Toe, playing repeatedly and adjusting its strategy, punishing the steps that ultimately lead to loss.
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