Ein Blog der ZHAW Zürcher Hochschule für Angewandte Wissenschaften
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 […]
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
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, […]
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, […]
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 […]
The information engineering group at InIT has recently successfully concluded a CTI funded project. The project is called “expert-match” and has been conducted in cooperation with expert group ag, a professional recruitment and consulting business head-quartered in Zurich, Switzerland. Expert group’s recruiting focus consists of staffing high-profile expert positions (e.g. specialized senior software engineers, senior […]
In a recent CTI project with our industry partner Nektoon AG we were involved in the development of the context intelligence application Squirro. In Squirro, users can create topics that consist of various text streams such as RSS feeds, blogs and Facebook accounts (see for example the following marketing video from Nektoon): Watch this video on […]