https://wiki-ag-gds.techfak.uni-bielefeld.de/ 2026-05-03T02:31:33+0200 https://wiki-ag-gds.techfak.uni-bielefeld.de/ https://wiki-ag-gds.techfak.uni-bielefeld.de/ttps://wiki-ag-gds.techfak.uni-bielefeld.de/lib/tpl/techfak/images/favicon.ico text/html 2023-01-26T14:59:17+0200 Anonymous (anonymous@undisclosed.example.com) https://wiki-ag-gds.techfak.uni-bielefeld.de/teaching/2022winter/bioadl?rev=1674741557&do=diff Biological Applications of Advanced Deep Learning Strategies 392120/392121 Schönhuth / Schlüter Winter 2022/21 Wed 12:15-13:45 (V) U10-146 and Zoom Literature * Michael Nielsen, Neural Networks and Deep Learning, <http://neuralnetworksanddeeplearning.com> * Ian Goodfellow, Yoshua Bengio, Aaron Courville, text/html 2022-12-16T09:33:30+0200 Anonymous (anonymous@undisclosed.example.com) https://wiki-ag-gds.techfak.uni-bielefeld.de/teaching/2022winter/blockchain?rev=1671179610&do=diff Biomedical Blockchains 392131 Schönhuth/Vérolet Winter 2022/23 Friday 10:15-11:45 (S) ZOOM Timetable Date Topic 1 Topic 214.10.2022 Introduction & Organization21.10.2022 How to present 28.10.2022 How to write Scientific Reports04.11.2022 11.11.2022 18.11.2022 25.11.2022 02.12.2022 09.12.2022 text/html 2022-10-31T09:04:42+0200 Anonymous (anonymous@undisclosed.example.com) https://wiki-ag-gds.techfak.uni-bielefeld.de/teaching/2022winter/graphdata?rev=1667203482&do=diff Biological Applications of Graph Databases 392129 Schönhuth/Schlüter Winter 2022/23 Friday 10:15-11:45 (S) C01-142 Important Links * Lernraum-Plus Timetable Date Topic 14.10.2022 Introduction & Organization 21.10.2022 How to present 28.10.2022 How to write Scientific Reports 04.11.2022 11.11.2022 18.11.2022 text/html 2022-12-21T10:48:25+0200 Anonymous (anonymous@undisclosed.example.com) https://wiki-ag-gds.techfak.uni-bielefeld.de/teaching/2022winter/graphnet?rev=1671616105&do=diff Graph Neural Networks in Big Data Analytics 392232 Schönhuth Winter 2022/23 Thu 10:15-11:45 (S) V6-116 and Zoom Content The recent surge of machine learning (ML) has opened up various opportunities when analyzing big datasets. Beyond basic, non-ML supported techniques of big data analytics, such as identifying similar items in big datasets, or arranging how to distribute jobs on large compute clusters, for example, the ML supported techniques enable to extract knowledge from large datase… text/html 2023-04-04T07:25:58+0200 Anonymous (anonymous@undisclosed.example.com) https://wiki-ag-gds.techfak.uni-bielefeld.de/teaching/2022winter/home?rev=1680585958&do=diff Winter 2022/23 ekvv Lecturer Title 392165 Schönhuth text/html 2022-11-21T08:50:21+0200 Anonymous (anonymous@undisclosed.example.com) https://wiki-ag-gds.techfak.uni-bielefeld.de/teaching/2022winter/journalclub?rev=1669017021&do=diff Genome Data Science Journal Club 392165 Schönhuth Winter 2022/23 Mon 10:30AM Time table Date Person Topic 17.11.2022 Raghuram Learning to Untangle Genome Assembly with Graph Convolutional Networks text/html 2023-01-30T08:16:21+0200 Anonymous (anonymous@undisclosed.example.com) https://wiki-ag-gds.techfak.uni-bielefeld.de/teaching/2022winter/prog?rev=1675062981&do=diff Programming 392168/392169 Manjunath Winter 2022/21 Wed 14:15-15:45 Hybrid (H1 & Zoom) Contents Data Science is an emerging interdisciplinary field with the aim to extract information from prevalently unstructured data. A basic skill for every data scientist is programming.