Episode 1: Getting a Flat Distribution Under Us

In this episode, I brace myself for the R release of Vigorous Calisthenics, scratch my head at Lyapunov Exponents, survey the brewing battlefield in the AI/ML Wars, and showcase the R-package 'numform'. References: https://journal.r-project.org/archive/2021/RJ-2021-109/RJ-2021-109.pdf https://journal.r-project.org/archive/2021/RJ-2021-080/RJ-2021-080.pdf https://www.jstatsoft.org/article/view/v101i12 https://www.frontiersin.org/articles/10.3389/fams.2022.818799/full https://www.frontiersin.org/articles/10.3389/fams.2022.869999/full https://www.frontiersin.org/articles/10.3389/fams.2022.839669/full https://cran.r-project.org/index.html https://pythoninsider.blogspot.com/2022/03/python-3110a6-is-available.html https://blog.python.org/2022/03/python-3103-3911-3813-and-3713-are-now.html https://blog.python.org/2022/03/python-3104-and-3912-are-now-available.html https://julialang.org/blog/2022/02/10years/ https://www.statistics.com/data-literacy-the-chainsaw-case/ https://errorstatistics.com/2022/03/23/the-ai-ml-wars-explain-or-test-black-box-models/ https://statmodeling.stat.columbia.edu/2022/03/27/the-examples-you-see-in-the-textbooks-are-not-representative-of-the-sorts-of-problems-you-see-in-the-real-world/ https://statisticsbyjim.com/regression/interpret-coefficients-p-values-regression/ https://www.r-bloggers.com/2022/03/february-2022-top-40-new-cran-packages/ https://www.r-bloggers.com/2022/03/how-i-analyze-100-ggplots-at-once/ https://cran.r-project.org/web/packages/numform/numform.pdf