From ffa54087747aa49e17ec4e046b04d65191985591 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Sat, 30 Jun 2018 14:18:38 +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 02c11e88e..94d503745 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ automatically detect patterns in data, and then use the uncovered patterns to pr data, or to perform other kinds of decision making under uncertainty. Since many of these problems can be studied using tools of probability theory, the aim of this course is to expose you to central methods in probability theory linked with machine learning. -This course covers thus topics like Monte Carlo methods and Markov chains, Bayesian statistics, error estimates, various linear methods, optimization of data and error analysis and central algorithms in machine learning. +This course covers thus topics like Monte Carlo methods and Markov chains, Bayesian statistics, error estimates, various regression methods, optimization of data and error analysis and central algorithms in machine learning. The course has several numerical projects and numerical exercises that are meant to illustrate the theory.