This Question is about EM Algorithm and I am little bit confused about how to apporach it.

Please Help!

There are two coins in an urn. A random experiment of drawing a coin from the urn and tossing it is repeated three times with replacement of the coins. Suppose that the result of the random experiment is D = [H, H, T). Run one iteration of the E-step and M-step of the expectation maximization (EM) algorithm using D as a training data set. What are the values of p(H/C_1) and p(C_1)? Assume the following initial probabilities. p(H|C_1) = 0.6 (probability of head when tossing coin C_1) p(H|C_2) = 0.4 (probability of head when tossing coin C_2) p(C_1) = 0.5 (probability of drawing coin C_1, from the urn) There are two coins in an urn. A random experiment of drawing a coin from the urn and tossing it is repeated three times with replacement of the coins. Suppose that the result of the random experiment is D = [H, H, T). Run one iteration of the E-step and M-step of the expectation maximization (EM) algorithm using D as a training data set. What are the values of p(H/C_1) and p(C_1)? Assume the following initial probabilities. p(H|C_1) = 0.6 (probability of head when tossing coin C_1) p(H|C_2) = 0.4 (probability of head when tossing coin C_2) p(C_1) = 0.5 (probability of drawing coin C_1, from the urn)