X-Git-Url: http://git.vanrenterghem.biz/www2.vanrenterghem.biz.git/blobdiff_plain/9d5cad4353459e7fa815d6a8a677037b58e69668..0102e884f848ce0ff586cf1035d90e0cf01a7d7a:/source/posts/managing_data_science_work.org

diff --git a/source/posts/managing_data_science_work.org b/source/posts/managing_data_science_work.org
index add1629..b39488b 100644
--- a/source/posts/managing_data_science_work.org
+++ b/source/posts/managing_data_science_work.org
@@ -1,5 +1,5 @@
-#+date: 2018-06-19 20:51:36 +0800
-#+filetags: leadership management analytics military
+#+date: <2018-06-19 20:51:36 +0800>
+#+filetags: :leadership:management:analytics:military:
 #+title: Managing data science work
 
 It appears to me the cross-industry standard process for data mining
@@ -25,7 +25,7 @@ advantage is obtained - by cycling through the OODA loops more quickly
 than ones opponent. Most interestingly, in both loops it's a common
 pitfall to skip the last step - deploying the model / acting.
 
-#+CAPTION: OODA loop ([[Image by Patrick Edwin Moran - Own work, CC BY 3.0|https://commons.wikimedia.org/w/index.php?curid=3904554]])
+#+CAPTION: OODA loop ([[https://commons.wikimedia.org/w/index.php?curid=3904554][Image by Patrick Edwin Moran - Own work, CC BY 3.0]])
 #+ATTR_HTML: :class img-fluid :alt OODA loop
 [[file:../assets/OODA-diagram.png]]