github
/
free-programming-books
mirror of https://github.com/EbookFoundation/free-programming-books.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update link of ISL (#11022)

Browse Source 
* Add Linear Algebra Done Right by Sheldon Axler

* Update link of ISL

Previous link doesn't work now
pull/11023/head
Nelson Morales 11 months ago committed by GitHub
parent d7fac7951d
commit 474a89dbdb
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Unified View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 2
      books/free-programming-books-subjects.md

2
books/free-programming-books-subjects.md
Unescape View File

@ -402,7 +402,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [A First Encounter with Machine Learning](https://web.archive.org/web/20210420163002/https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) - Max Welling (PDF) *(:card_file_box: archived)* * [A First Encounter with Machine Learning](https://web.archive.org/web/20210420163002/https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) - Max Welling (PDF) *(:card_file_box: archived)*
* [A Selective Overview of Deep Learning](https://arxiv.org/abs/1904.05526) - Fan, Ma, Zhong (PDF) * [A Selective Overview of Deep Learning](https://arxiv.org/abs/1904.05526) - Fan, Ma, Zhong (PDF)
* [Algorithms for Reinforcement Learning](https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf) - Csaba Szepesvári (PDF) * [Algorithms for Reinforcement Learning](https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf) - Csaba Szepesvári (PDF)
* [An Introduction to Statistical Learning](https://web.stanford.edu/~hastie/ISLR2/ISLRv2_website.pdf) - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (PDF) * [An Introduction to Statistical Learning](https://www.statlearning.com) - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
* [Approaching Almost Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost) - Abhishek Thakur (PDF) * [Approaching Almost Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost) - Abhishek Thakur (PDF)
* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage) * [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
* [Deep Learning](https://www.deeplearningbook.org) - Ian Goodfellow, Yoshua Bengio, Aaron Courville * [Deep Learning](https://www.deeplearningbook.org) - Ian Goodfellow, Yoshua Bengio, Aaron Courville

Write Preview
Loading…
Cancel
Save