Review! This is our last week of theory. Next week the practical side begins in earnest. However much fun that will be, and it will be a jolly time, this is the […]
Free Data Science Class: Predictive Case Study 1, Part VII
Parameters Aren’t What You Think
I was asked to comment on a post by Dan Simpson exploring the Bernstein-von Mises theorem. This post fits in with the Data Science class, a happy coincidence, and has been so […]
Free Data Science Class: Predictive Case Study 1, Part IV
Review! Code coming next week! Last time we decided to put ourselves in the mind of a dean and ask for the chance of CGPA falling into one of these buckets: 0,1,2,3,4. […]
Free Data Science Class: Predictive Case Study 1, Part V
Review! This class is neither frequentist nor Bayesian nor machine learning in theory. It is pure probability, and unlike any other class available. And for the right price! We have all we […]
Free Data Science Class: Predictive Case Study 1, Part III
You must review: Part I, II. Not reviewing is like coming to class late and saying “What did I miss?” Note the New & Improved title! Here are the main points thus […]
Free Data Science Class: Predictive Case Study 1, Part VIII
Review! We’re continuing with the CGPA example. The data is on line, and of unknown origin, but good enough to use as an example. We will build a correlational model, keeping ever […]
Free Data Science Class: Predictive Case Study 1, Part VI
Review! This class is neither frequentist nor Bayesian nor machine learning in theory. It is pure probability, and unlike any other class available. And for the right price! Last time we completed […]
Example Of How To Eliminate P-values & Their Replacement
Many, many more details are available in Uncertainty: The Soul of Modeling, Probability & Statistics and at this page. Last time we learned that the way to do probability models was this: […]
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