## Data Science Bite: What is Statistics?

Statistics is the science of relating summaries of observable samples to the unobserved summaries of the populations they are drawn from. I try to explain that with an example in this video. (link)

Statistics is the science of relating summaries of observable samples to the unobserved summaries of the populations they are drawn from. I try to explain that with an example in this video. (link)

We introduce the dual numbers, a number system that is simple to calculate with that allows us to perform automatic differentiation. For more on the dual number please see: https://win-vector.com/tag/dual-numbers/. (link)

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What Every Data Scientist Should Know About Floating Point (link)

I have a new math chalk talk to share: “The Real Numbers.” Here I go into some of the terrifying true nature of our common model for continuous quantities. (link)

A video introduction on how to evaluate probability models using the statistical deviance. (link)

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I’d like to share a quick video on some ideas on how to think about and teach about vectors in a data science context. (link)