Ein Blog der ZHAW Zürcher Hochschule für Angewandte Wissenschaften
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 […]
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 […]
In this article, I recount measures and approaches used to deal with a relatively small data set that, in turn, has to be covered “perfectly”. In current academic research and large-scale industrial applications, datasets contain millions to billions (or even more) of documents. While this burdens implementers with considerations of scale at the level of infrastructure, […]
As part of a recent project called Big Data Query Processing we have evaluated complex query workloads using modern Big Data systems. In particular, we have performed benchmarks of Cloudera Impala using a business intelligence use case provided by an industry partner. The results can be found on the following blog post hosted by Cloudera: […]
In this post, our new Datalab members Kurt Pärli and Anita Zimmermann from ZHAW’s Zurich Center for Privacy and Dataprotection comment on the recent judment of the European court against Google; see also C-131/12 dated May 13, 2014 Opinion of advocate general Jääskinen dated June 25, 2013 Schlagwörter: Security & Privacy
SDS|2014, the 1st Swiss Workshop on Data Science, took place on the 21st of March, 2014 – and we organized it. You can find an excellent summary of the talks on Frank van Lingen’s blog “ITelligence Insight” (Frank attended the workshop, but is not affiliated with us – so its ought to be a fair […]
I’m glad that Thilo mentioned Security & Privacy as part of the data science skill set in his recent blog post. In my opinion, the two most interesting questions with respect to security & privacy in data science are the following: Data science for security: How can data science be used to make security-relevant statements, […]