From 286958acd08324624d6995d6eaf0d22ee9ee1bce Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Sat, 25 Jul 2020 21:22:23 +0200 Subject: [PATCH] Update README.md --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 701401fc6..d3d285c8a 100644 --- a/README.md +++ b/README.md @@ -47,16 +47,15 @@ The following topics will be covered - Central elements of Bayesian statistics and modeling; - Gradient methods for data optimization - Monte Carlo methods, Markov chains, Metropolis-Hastings algorithm; -- Linear methods for regression and classification; - Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods; - Principal Component Analysis and its mathematical foundation ### Machine learning -The following topics are planned for the fall semester 2020 +The following topics will be covered - Linear Regression and Logistic Regression; - Neural networks and deep learning, including convolutional and recurrent neural networks -- Decisions trees and nearest neighbor algorithms +- Decisions trees, Random Forests, Bagging and Boosting - Support vector machines - Bayesian linear and logistic regression - Boltzmann Machines