Free Springer books during lockdown

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SUMMARY

During the lockdown, Springer has made a significant number of scientific books available for free, allowing users to download them directly from their website. Notable titles include "Introduction to Statistical Learning with Applications in R" by Gareth James et al., which has been accessible for some time. Users can find a complete list of available books and their download links on the Springer webpage and related resources. The collection has expanded to over 500 titles, providing valuable educational material for various fields.

PREREQUISITES
  • Familiarity with online academic resources and digital libraries.
  • Basic understanding of statistical learning concepts.
  • Knowledge of R programming for practical application of statistical methods.
  • Ability to navigate and utilize PDF documents for downloading academic texts.
NEXT STEPS
  • Explore the complete list of free Springer books available during the lockdown.
  • Download "Introduction to Statistical Learning with Applications in R" from the provided links.
  • Visit the companion course website at www.statlearning.com for additional resources.
  • Research other free educational resources compiled on platforms like Open Culture.
USEFUL FOR

Students, educators, and researchers in the fields of statistics and data analysis, as well as anyone seeking free academic resources for self-study or course enhancement.

dRic2
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It appears that during this lockdown Springer is making lots of expensive scientific books available for free. Open the pdf file and you will see a complete list of books with the relative links. You'll be redirected to the Springer webpage and there you can freely download any of those books mentioned in the list!

PS: I'd like to download a book about statistics and data analysis, do you happen to be familiar with some of the books in the list?
 

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Wow, quite a selection! Thanks for the heads-up. :smile:
 
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Thank you very much for this post!
 
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I like this book, which was used in a course I took in Spring 2019.

(ISLR) Introduction to Statistical Learning with Applications in R, by
Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani. Publ. Springer,
New York (2017). ISBN-10: 1461471370. ISBN-13: 978-1461471370


It has already been free for some time. You can download from Springer here: https://link.springer.com/book/10.1007/978-1-4614-7138-7
(NOTE: the free download is no longer available from that link)

Or go to the website with the companion course -
Note, this is a new link from the author - https://www.statlearning.com/
 
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@Keith_McClary Great page! I really went to town on some of those books. A lot of them look pretty interesting.

Thanks for posting.

diogenesNY
 
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