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ddarmon.github.io
| | aurimas.eu
3.2 parsecs away

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| | a.k.a. why you should (not ?) use uninformative priors in Bayesian A/B testing.
| | debrouwere.org
1.7 parsecs away

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| | [AI summary] A data scientist argues that traditional descriptive statistics like the mean and standard deviation are often poor choices for communicating data and recommends more interpretable alternatives like medians, percentiles, and visualizations.
| | minireference.com
1.7 parsecs away

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| | [AI summary] The author critiques the outdated, formula-heavy introductory statistics curriculum and outlines a plan for a new textbook that prioritizes practical skills, randomization methods, and a deeper conceptual understanding over rote memorization of analytical approximations.
| | matthewmcateer.me
18.7 parsecs away

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| Important mathematical prerequisites for getting into Machine Learning, Deep Learning, or any of the other space