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Solving Introduction to Statistical Learning with Applications

Solutions for An Introduction to Statistical Learning, in Go and Julia.

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After playing for a while with (Norvig, 1991) it got me interested in learning more about statistical learning, one of the most common frameworks for machine learning. (James et al., 2023) gives a very thorough introduction with application using the Python programming language (yes, the book name is pretty descriptive).

While I enjoy the book, I rarely enjoy writing Python. Here I provide my notes and exercise solutions for the book using both the Go and Julia programming languages.

Solutions: (update: this link is removed, I need to review somethings)

References

James, G., Witten, D., Hastie, T., Tibshirani, R., Taylor, J., 2023. An introduction to statistical learning: with applications in python (springer texts in statistics), 1st ed. 2023. ed. Springer.
Norvig, P., 1991. Paradigms of artificial intelligence programming: case studies in common lisp, 1st ed. Morgan Kaufmann.

I seek refuge in God, from Satan the rejected. Generated by: Emacs 29.4 (Org mode 9.6.17). Written by: Salih Muhammed, by the date of: 2023-09-18 Mon 04:15. Last build date: 2024-07-04 Thu 21:55.