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In the "additional material". Perhaps it would make more sense to refactor this section, and add pieces to the end of each chapter, in a section called "Further reading". This would be more modular, and would put the references in context.
(Also some of the sources you cite are arguably not the most useful to a beginning DS student...)
The correct reference for ISLP is below (you omitted two authors)
@book{James2023,
author = "G. James and D. Witten and T. Hastie and R. Tibshirani and Jonathan Taylor",
title = "An introduction to statistical learning (with applications in Python)",
year = 2023,
publisher = "Springer",
url = "https://www.statlearning.com/"
}
You might want to add a list of topics not covered, with pointers on where to learn more.
(The above ISLP book may be a good next step.)
In the "additional material". Perhaps it would make more sense to refactor this section, and add pieces to the end of each chapter, in a section called "Further reading". This would be more modular, and would put the references in context.
(Also some of the sources you cite are arguably not the most useful to a beginning DS student...)
The correct reference for ISLP is below (you omitted two authors)
You might want to add a list of topics not covered, with pointers on where to learn more.
(The above ISLP book may be a good next step.)
https://learningds.org/ch/a01/prob_review.html has some missing figures.
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