[Dorian]

I find this exercise simple but very useful. If one thinks of the series of following measurements (1s and 0s for heart attack or not) one can clearly form an idea how this transforms step-by-step from a uniform distribution to a Bernoulli one.

Does this mean that this example represents one of those cases where the initial prior is irrelevant and we can safely use it for learning? Also, is this some form of reinforcement learning?

thanks,
Dorian.