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)
The Dual Numbers
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)
PAC Learning and VC Dimension
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What Every Data Scientist Should Know About Floating Point
What Every Data Scientist Should Know About Floating Point (link)
New Math Chalk Talk: The Real Numbers
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)
Evaluating Probability Models
A video introduction on how to evaluate probability models using the statistical deviance. (link)
Evaluating Regression Models
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Some Ideas on How to Think About Vectors
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)
