From 653734537568d3fb87c82942ddaaadef6b68a420 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Sun, 11 Jul 2021 22:06:16 +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 fdff2a913..6a93a2769 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ This course aims at giving you insights and knowledge about many of the central - Learn about neural networks and deep learning methods for supervised and unsupervised learning. Emphasis on feed forward neural networks, convolutional and recurrent neural networks; - Learn about about decision trees, random forests, bagging and boosting methods; - Learn about support vector machines and kernel transformations; -- Reduction of data sets, from PCA to clustering; +- Reduction of data sets and unsupervised learning, from PCA to clustering; - Autoencoders and Reinforcement Learning; - 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++ and/or Fortran (Fortran2003 or later).