From b113571589a7f6747615ca8cafe416f2b65508b1 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Wed, 31 Jul 2019 22:30:23 +0200 Subject: [PATCH 1/3] 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 From a0d6a81d5279428d453b42b67460fe1f5b3836f2 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Thu, 1 Aug 2019 22:16:10 +0200 Subject: [PATCH 2/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 46f4033e9..2922ef304 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ surrounded by huge amounts of data. For example, there are about one trillion we hour of video is uploaded to YouTube every second, amounting to years of content every day; the genomes of 1000s of people, each of which has a length of more than a billion base pairs, have been sequenced by various labs and so on. This deluge of data calls for automated methods of data analysis, -which is exactly what machine learning provides. +which is exactly what machine learning aims at providing. ## Learning outcomes From 8266a00021bfcf3b9bee200721c1bef763280f2f Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Fri, 2 Aug 2019 21:52:08 +0200 Subject: [PATCH 3/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2922ef304..93db67889 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ which is exactly what machine learning aims at providing. ## Learning outcomes -This course aims thus at discussing many of the central algorithms used in Data Analysis and Machine Learning. The course is project based and through various numerical projects, normally three, you will be exposed to fundamental research problems in these fields, with the aim to reproduce state of the art scientific results. Both supervised and unsupervised methods will be covered. You will learn to develop and structure large codes for studying different systems where Machine Learning is applied to, get acquainted with computing facilities and learn to handle large scientific projects. A good scientific and ethical conduct is emphasized throughout the course. More specifically, after this course you will +This course aims at discussing many of the central algorithms used in Data Analysis and Machine Learning. The course is project based and through various numerical projects, normally three, you will be exposed to fundamental research problems in these fields, with the aim to reproduce state of the art scientific results. Both supervised and unsupervised methods will be covered. You will learn to develop and structure large codes for studying different systems where Machine Learning is applied to, get acquainted with computing facilities and learn to handle large scientific projects. A good scientific and ethical conduct is emphasized throughout the course. More specifically, after this course you will - 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;