Ein Blog der ZHAW Zürcher Hochschule für Angewandte Wissenschaften
By Kurt Stockinger (ZHAW) As part of “Zürich meets San Francisco – A Festival Of Two Cities”, the ZHAW Datalab co-organized the event Data Science and Beyond: Technical, Economic and Societal Challenges, which took place at the campus of San José State University (SJSU) – in the heart of Silicon Valley. One interesting fact about […]
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 […]
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 […]
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 Thilo Stadelmann (ZHAW) Reposted from https://dublin.zhaw.ch/~stdm/?p=350#more-350 I recently came about the notion of “type A” and “type B” data scientists. While the “type A” is basically a trained statistician that has broadened his field towards modern use cases (“data science for people”), the same is true for “type B” (B for “build”, “data science […]
By Oliver Dürr (ZHAW) Reposted from http://oduerr.github.io/blog/2016/04/06/Deep-Learning_for_lazybones In this blog I explore the possibility to use a trained CNN on one image dataset (ILSVRC) as feature extractor for another image dataset (CIFAR-10). The code using TensorFlow can be found at github. Schlagwörter: Data Science, Deep Learning, Python
The Swiss Data Science community recently met at SDS|2015, the 2nd Swiss Workshop on Data Science. It was a full day event organized by ZHAW Datalab, with inspiring talks, hands-on data expeditions, and an excellent provision of space and atmosphere for fruitful networking. The conference took place on the 12th of June at the premises […]
Drew Conway´s data science Venn diagram is used by many (including me) to give a first impression of what data science is all about. And rightly so: I, for example, like it for its simplicity and “coolness”. When in a more in-depth discussion, moving from mere buzz to concrete skills and project possibilities, we at […]
Introduction SODA (Search over Data Warehouse) provides a Google-like search interface for querying an enterprise data warehouse. The tool enables non-tech savvy users, who do not have technical knowledge of the underlying database system or the query language SQL, to intuitively explore complex data warehouses. The main idea is to use metadata information about the […]