Two Julia pearls

*While trying once again to find if there was any Julia version of the Classic Computer Science Problems by David Kopec (there are versions in Python, Java, Rust, JavaScript and others in GitHub - davecom/ClassicComputerScienceProblemsInPython: Source Code for the Book Classic Computer Science Problems in Python 9), I found these very important pearls from @CMoebus in JULIA Projects // University of Oldenburg 25 a Julia application of the SICP and of the ISLR2, both using Pluto.jl.*

https://discourse.julialang.org/t/two-julia-pearls/116352

ISLR2 = An Introduction to Statistical Learning

1. Introduction

2. Statistical Learning

   1. What is Statistical Learning ?
   2. Nonlinear Model Functions 1
   3. Nonlinear Model Functions 2
   4. Regressions with Neural Nets

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   This is a draft under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Comments, improvement and issue reports are welcome: claus.moebus(@)uol.de

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