Starbucks, Machine Learning, Markov Chains, Data Science, Editors Pick.
coffee-making bit, that is the one before In the third case, we have both of the above, and the number of baristas becomes another thing to consider We could of course complicate this model a lot. We could consider the fact that machines can be broken. We can consider a shortage of baristas. We can