Interest in machine learning and data science has been growing at a rapid rate in recent years. More and more students are enrolling in online data sciences courses that are great at teaching them how to fit machine-learning algorithms to simple data sets. Most of these online courses are fantastic in explaining complex techniques related to machine learning, however, only a few of them delve into the mathematical statistics behind the fancy algorithms. The fundamentals of statistics are grossly undervalued in these courses. For example, there are many so-called data scientists that cannot distinguish between discrete and continuous data. It…...
Simulating Popular Distributions in Python
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