what is the result of a Monte Carlo approximation? what is the product of expectation in Monte Carlo what kind of samples do Monte Carlo use what is the product of expectation in monte carlo which condition is not true in a Monte Carlo approximation what is the average cost for reusing the same samples for each expectation? how to approximate a product of expectations can monte carlo be used to approximate a product of expectations what does Monte Carlo approximation do how do you approximate a boltzmann machine what is the product of the Monte Carlo approximation how is the product of expectations approximated why use same sample for each expectation which Monte Carlo example is correct if there was no hidden neurons in the state of each neuron? what is the consequence of using only $n$ samples total, and each expectation is incorrect and biased? where is the $n$ model of the neural network why is the estimate error in a monte carlo what is the difference between Monte Carlo and linear regression? when using a monte carlo model what is the effect of using the same sample for each expectation what is the product of expectations in Monte Carlo?