BUiLD workshop: What business and law academics should know about machine

What business and law academics should know about machine learning

Presenter: Professor Dr Bernd Skiera, Chair of Electronic Commerce, Department of Marketing, Faculty of Economics and Business Administration, Geothe University, Frankfurt

A light lunch will be provided.

Contents

Most academic researchers know econometric techniques very well but know rather little about machine learning techniques. That lack of knowledge is undesirable because both techniques solve similar problems but machine learning recently gained strongly in popularity, in particular in the industry. The aim of this workshop is to provide those researchers that have little knowledge about machine learning with a good understanding about the basic ideas of machine learning and first insights into the basic ideas of some algorithms of supervised learning such as decision trees, regression trees as well as ensemble methods such as random forests.

Presenter

Prof Bernd Skiera is a fractional appointment within the Department of Marketing and conducts research on electronic commerce, online marketing, customer management, and price management. In 1999, he became the first chair of electronic commerce in Germany and in 2014, he was ranked by the German business journal Handelsblatt as the most productive researcher of the past five years in Germany, Austria, and Switzerland. Prof Skiera has published in top journals across multiple disciplines, including Management Science, Marketing Science, Journal of Marketing, Journal of Marketing Research, Journal of Management Information Systems, and European Journal of Operational Research.