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A company is creating an educational game that presents probability questions, like determining the chance of selecting a green marble from a jar containing six red, four green, and three yellow marbles.
Which approach fulfills these needs with the MINIMAL operational overhead?
A
Use supervised learning to create a regression model that will predict probability.
B
Use reinforcement learning to train a model to return the probability.
C
Use code that will calculate probability by using simple rules and computations.
D
Use unsupervised learning to create a model that will estimate probability density.