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Einleitung Aufgrund vielfältiger potenzieller Geschäftschancen, die Machine Learning bietet, arbeiten mittlerweile viele Unternehmen an Initiativen für datengetriebene Innovationen. Dabei gründen sie Analytics-Teams, schreiben neue Stellen für Data Scientists aus, bauen […]
„Alles ist stetig und fortlaufend im Wandel.“ „Das Tempo der Veränderungen nimmt zu.“ „Die Welt wird immer komplexer und Unternehmen müssen Schritt halten.“ Unternehmen jeder Art und Größe haben diese […]
I am often asked how the Business Intelligence department should be set up and how it should interact and collaborate with other departments. First and foremost: There is no magic […]
The process in the semiconductor industry is highly complicated and is normally under consistent observation via the monitoring of the signals coming from several sensors. Thus, it is important for […]
One of the applications of text mining is sentiment analysis. Most of the data is getting generated in textual format and in the past few years, people are talking more […]
Data in Business Intelligence Business processes traditionally comprise three stages of data management: collecting, analyzing, and reporting. First, data should be gathered from all the sources through ETL tools (Extract, […]
Multi-GNSS (Galileo, GPS, and GLONASS) Vertical Total Electron Content Estimates: Applying Data Science techniques in Python to Evaluate Ionospheric Perturbations from Earthquakes 1 Introduction Today, Global Navigation Satellite System (GNSS) […]
The job of the Data Scientist is actually a fairly new trend, and yet other job titles are coming to us. “Is this really necessary?”, Some will ask. But the […]
What must a Data Scientist be able to do? Which skills does as Data Scientist need to have? This question has often been asked and frequently answered by several Data […]
Interview mit Thomas Otzasek, Head of Data Science bei der Smarter Ecommerce GmbH Thomas Otzasek ist Head of Data Science bei der Smarter Ecommerce GmbH in Linz, ein Unternehmen für […]
