We see numbers all around us. Whether it’s on TV, online, or in the newspaper, our society has been flooded with random numbers and math-facts trying to prove a narrative. On any given TV channel, the commentators throw facts that try and catch your attention. “In games where Tom Brady has thrown 4 or more Touchdowns, the patriots have a worse winning percentage than when he throws less than 4!”. Or in the polls - “Donald Trump has been given a less than 20% chance of winning the election, it’s over!”.

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Sitting at the cross-roads of mathematics, statistics, and computer science, the emerging field of data science (ranked by many as the top career in the US) seems daunting to those still developing strong technical skills. At the same time, a host of dynamic and highly-efficient libraries give coders the power to treat complex areas like machine learning as a black box.

There is, however, middle ground: an intuitive understanding of mathematics that makes

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