Machine Learning And Artificial Intelligence Documentation

WHAT’S THIS SESSION ABOUT?

Machine learning and artificial intelligence have revolutionized the way we solve complex problems and make data-driven decisions. However, the effectiveness of any project relies heavily on well-documented processes, models, and code. Documentation plays a crucial role in enhancing collaboration, knowledge sharing, and reproducibility.

Join this Data Snack for best practices on how to document your machine learning and artificial intelligence models and datasets.

This Data Snack welcomes all data enthusiasts, data scientists, developers, and anyone interested in learning more about machine learning documentation.

ABOUT THE SPEAKER

With her diploma in Sociology Heike Thöricht joined the University of Innsbruck in 2018 and worked in the project e-Infrastructures Austria Plus , in the successor project FAIR Data Austria and in a Research Data Management project of the University. In her role as a data steward at the DSC since June 2022, she advises researchers from the social sciences and humanities of the UBremen Research Alliance throughout the entire research data lifecycle.

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WHERE AND WHEN?

The info event will take place in hybrid format from 1:00 to 1:30pm at MZH and via Zoom. There will be a 15-minute presentation followed by an open forum for questions and discussion. If you would like to join on site at the MZH, please use the registration form on the left for better planning. There will be coffee and snacks. We look forward to exciting discussions!