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authorYuchen Pei <me@ypei.me>2019-01-11 11:09:34 +0100
committerYuchen Pei <me@ypei.me>2019-01-11 11:09:34 +0100
commit9dfd1ec354a986156fc06c4f839671f361e07c6e (patch)
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parentcc8c8d0fbe7caa0800c9a8749dfa4c65b4bccc56 (diff)
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-rw-r--r--posts/2019-01-03-discriminant-analysis.md5
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diff --git a/pages/about.md b/pages/about.md
index 2d634f1..4982192 100644
--- a/pages/about.md
+++ b/pages/about.md
@@ -7,7 +7,9 @@ name: index
Yuchen is a post-doctoral researcher in mathematics at the [KTH RMSMA group](https://www.math.kth.se/RMSMA/).
Before KTH he did a PhD at the [MASDOC program at Warwick](https://warwick.ac.uk/fac/sci/masdoc), and spent two years in a postdoc position at [CMSA at Harvard](http://cmsa.fas.harvard.edu).
-He is interested in machine learning and functional programming.
+He is interested in machine learning, with a preference to its theoretical (which really translates to mathematical because he views statistics and theoretical computer science as subsets of mathematics) aspects.
+
+As an academic his job is to seek truth and share his findings with the public.
He is also interested in the idea of open research and open sourced his research in Robinson-Schensted algorithms as a [wiki](https://toywiki.xyz).
diff --git a/posts/2019-01-03-discriminant-analysis.md b/posts/2019-01-03-discriminant-analysis.md
index 28c53d5..47e2cc8 100644
--- a/posts/2019-01-03-discriminant-analysis.md
+++ b/posts/2019-01-03-discriminant-analysis.md
@@ -16,8 +16,11 @@ Learning](https://web.stanford.edu/~hastie/ElemStatLearn/), [Stanford
CS229 Lecture notes](http://cs229.stanford.edu/notes/cs229-notes2.pdf),
and [the scikit-learn
code](https://github.com/scikit-learn/scikit-learn/blob/7389dba/sklearn/discriminant_analysis.py).
+Research was done while working at KTH mathematics department.
-This post is licensed under CC BY-SA and GNU FDL.
+_If you are reading on a mobile device, you may need to "request desktop site"
+for the equations to be properly displayed. This post is licensed under CC BY-SA
+and GNU FDL._
Theory
------