From bfad5afdbbcb08c711175a4c17e45f53a332a051 Mon Sep 17 00:00:00 2001 From: rasbt Date: Sat, 15 Apr 2017 20:46:16 -0400 Subject: [PATCH] link to math and numpy resources --- README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/README.md b/README.md index 119d9894..e8c31341 100644 --- a/README.md +++ b/README.md @@ -65,6 +65,19 @@ Simply click on the `ipynb`/`nbviewer` links next to the chapter headlines to vi - Equation Reference [[PDF](./docs/equations/pymle-equations.pdf)] [[TEX](./docs/equations/pymle-equations.tex)] +#### Additional Math and NumPy Resources + +Some readers were asking about Math and NumPy primers, since they were not included due to length limitations. However, I recently put together such resources for another book, but I made these *chapters* freely available online in hope that they also serve as helpful background material for this book: + + +- Algebra Basics [[PDF](https://sebastianraschka.com/pdf/books/dlb/appendix_b_algebra.pdf)] [[EPUB](https://sebastianraschka.com/pdf/books/dlb/appendix_b_algebra.epub)] + +- A Calculus and Differentiation Primer [[PDF](https://sebastianraschka.com/pdf/books/dlb/appendix_d_calculus.pdf)] [[EPUB](https://sebastianraschka.com/pdf/books/dlb/appendix_d_calculus.epub)] + +- Introduction to NumPy [[PDF](https://sebastianraschka.com/pdf/books/dlb/appendix_f_numpy-intro.pdf)] [[EPUB](https://sebastianraschka.com/pdf/books/dlb/appendix_f_numpy-intro.epub)] [[Code Notebook](https://github.com/rasbt/deep-learning-book/blob/master/code/appendix_f_numpy-intro/appendix_f_numpy-intro.ipynb)] + + + --- #### Citing this Book