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Klea Sanka – Data Scientist @ StepStone GmbH

This presentation explores the salary landscape in the German job market, focusing on the challenges of data collection and approaches used to analyse it. We will discuss the importance of getting just the right features and how to balance the amount of data used. We will also examine the pipeline from experimentation to production models and the importance of keeping track of metrics and how we can automatise the process. Lastly, we will delve into the challenges of gender bias, data representation, and monotonicity, looking at how these factors impact our predictions, as well as prospects for future work.

Python cloud platforms
Maren Westermann – scikit-learn team member @ PyLadies Berlin

Today state of the art technology and scientific research strongly depend on open source libraries. The demographic of the contributors to these libraries is predominantly white and male. This situation creates problems not only for individual contributors outside of this demographic but also for open source projects such as loss of career opportunities and less robust technologies, respectively. In recent years there have been a number of various recommendations and initiatives to increase the participation in open source projects of groups who are underrepresented in this domain. While these efforts are valuable and much needed, contributor diversity remains a challenge in open source communities. This talk highlights the underlying problems and explores how we can overcome them.

open source libraries scikit-learn
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