From b113571589a7f6747615ca8cafe416f2b65508b1 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Wed, 31 Jul 2019 22:30:23 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 40daa0714..46f4033e9 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ This course aims thus at discussing many of the central algorithms used in Data - Learn about various neural networks and deep learning methods for supervised and unsupervised learning; - Learn about about decision trees and random forests - Learn about support vector machines and kernel transformations -- Reduction of data sets, from PCA to clustering, supervised and unsupervided methods +- Reduction of data sets, from PCA to clustering, supervised and unsupervised methods - Work on numerical projects to illustrate the theory. The projects play a central role and you are expected to know modern programming languages like Python or C++. ## Prerequisites