Ein Blog der ZHAW Zürcher Hochschule für Angewandte Wissenschaften
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, […]
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 […]
In business, especially marketing, it is often necessary to perform customer selection. The typical task involves defining a set of customers for upselling, cross-selling or retention actions. Traditionally, the selection criterion is the positive response probability. While this identifies customers who are the most likely to respond, it does not necessarily provide the optimal solution […]
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 […]