Machine Learning, Data Science.
this case) and initiate the chain. The result is a sequence of values that should, in aggregate, represent the most likely distribution that characterizes the original data. To see what we ended up with, we can plot the values in a histogram. fig, ax = plt.subplots(figsize=(12, 9))