From c472ebe7dd2d4efe00439a5fca8236931ea30a01 Mon Sep 17 00:00:00 2001 From: Martin Monkman Date: Mon, 8 Apr 2019 08:22:25 -0700 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8cf7797..22bc3b1 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ An incomplete compendium (yes, that's an oxymoron) of resources that cover data science topics (a.k.a. statistics, econometrics, actuarial science, etc.). These will cover general theory, methodology, applications, and R tools and methods. The listing is not intended to be comprehensive, but will be resources I find as part of my projects or random happenstance. The emphasis will be on web resources, although published texts will also be included where appropriate. -The ebook can be found on [bookdown.org](), here: +The ebook can be found on [bookdown.org](bookdown.org), here: https://bookdown.org/martin_monkman/DataScienceResources_book/