Ein Blog der ZHAW Zürcher Hochschule für Angewandte Wissenschaften
The aim of the PhD Network in Data Science is to offer students with a master degree (including degrees from an university of applied sciences) the opportunity to obtain a PhD in cooperation between a university of applied sciences and a university. The PhD Network in Data Science is supported by Swissuniversities. It is a […]
Reviewed by Thoralf Mildenberger (ZHAW) Paul. D. Ellis, The Essential Guide to Effect Sizes. Statistical Power, Meta-Analysis and the Interpretation of Research Results. Cambridge University Press, Cambridge 2010. Link to book on publisher’s website. In the last few years, statistical hypothesis testing – with the p-value still being THE standard for reporting results in many […]
By Kurt Stockinger (ZHAW) The final results of an interdisciplinary study funded by „TA Swiss“ on „Quantified Self“ with participation of the Datalab have been published. The study was performed by three ZHAW departments (School of Health Professions, School of Management and Law, School of Engineering) in cooperation with the Institute for Futures Studies and […]
2nd European COST Conference on Mathematics for Industry in Switzerland September 7, 2017 Zurich University of Applied Sciences, Technikumstr. 71, 8400 Winterthur By Jörg Osterrieder (ZHAW) Below please find a short recap and an outlook for our next conference on September 6, 2018. Aim of the conference The aim of this conference was to bring […]
By Matthias Templ (ZHAW), Thoralf Mildenberger (ZHAW) By way of example, functionality of Reduce() is shown in in https://blog.zhaw.ch/datascience/r-reduce-applys-lesser-known-brother/ . It’s great to learn about how to use this function on interesting problems. If you are ready (equals if you read the first blog post on Reduce), we want to push you further on writing […]
By Thoralf Mildenberger (ZHAW) Everybody who knows a bit about R knows that in general loops are said to be evil and should be avoided, both for efficiency reasons and code readability, although one could argue about both. The usual advice is to use vector operations and apply() and its relatives. sapply(), vapply() and lapply() […]
by Thilo Stadelmann (ZHAW) In 2014, ZHAW Datalab started the SDS conference series. It was the year with only one Swiss data scientist identifiable on LinkedIn (at Postfinance…). The year where we talked about “Big Data”, and not “Digitization”. The year where we were unsure if such a thing as a Swiss data science community […]
By Lukas Tuggener (ZHAW) Twitter: https://twitter.com/ltuggener/ Reposted from https://medium.com/@ltuggener/who-is-scared-of-the-big-bad-robot-dc203e2cd7c4 There currently is much talk about the recent developments of AI and how it is going to affect the way we live our lives. While fears of super intelligent robots, which want to end all human live on earth, are mostly held by laymen. There are other […]
By Gabriel Eyyi (ZHAW) In this blog post I will show how to combine dynamic models from Modelica with reinforcement learning. As part of one of my master projects a software environment was developed to examine reinforcement learning algorithms on existing dynamic models from Modelica in order to solve control tasks. Modelica is a non-proprietary, […]
By Amrita Prasad (ZHAW) It’s already been a month since we met as the Swiss Data Science community at our 3rd Swiss Conference on Data Science (SDS|2016), pushed again by ZHAW’s Datalab group and presented by SAP Switzerland. Several additional organisations sponsored and supported the conference to give it a successful execution – the organising […]