From bd10904aa14e11e8fefe4c4e74551c6dfdcc8a18 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Thu, 3 Jun 2021 23:19:34 +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 f8fb12843..f41113a62 100644 --- a/README.md +++ b/README.md @@ -20,7 +20,7 @@ This course aims at giving you insights and knowledge about many of the central - Learn about basic data analysis, statistical analysis, Bayesian statistics, Monte Carlo sampling, data optimization and machine learning; - Be capable of extending the acquired knowledge to other systems and cases; - Have an understanding of central algorithms used in data analysis and machine learning; -- Understand linear methods for regression and classification, from ordinary least squares, via Lasso and Ridge to Logistic regression; +- Understand linear methods for regression and classification, from ordinary least squares, via Lasso and Ridge to Logistic regression and Kernel regression; - 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;