Spark Sessions 002

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Spark Sessions 002

The Spark Sessions represent a series of interactive gatherings hosted by the Data Science Initiative at the Faculty of Computer and Information Science, aimed at fostering the sharing of innovative ideas and insights. The format includes a selection of short presentations (5-7 minutes each), followed by an informal meet-up with complimentary refreshments.

Intro: Is There a Data Engineering Minimum for a Professional Data Scientist? presented by Erik Štrumbelj
Seeing Through Data: Eye Tracking Insights into Graph Comprehension presented by Leon Hvastja (Data Science Student, University of Ljubljana)
This presentation explores the growing relevance of eye-tracking technology in understanding cognitive processes involved in graph comprehension. The technique is beneficial in various fields such as education, cognitive model development, and assessing differences between expert and novice users.
Machine Learning and AI in Analysis of Neuroimaging Data presented by Grega Repovš (Professor, Department of Psychology, University of Ljubljana)
This session discusses the integration of machine learning and AI in the processing of neuroimaging data, focusing on its potential to optimize data preprocessing and improve diagnostic capabilities.
Blazing Fast Computation with JAX presented by David Nabergoj (Young Researcher, University of Ljubljana)
Attendees will learn about the JAX Python library designed for high-performance numerical computing and its significant advantages over traditional frameworks in reinforcement learning scenarios.
What’s It Like to Crawl 100M Web Pages Every Week presented by Roq Xever (CEO and Founder, PredictLeads)
This talk provides insights into the infrastructure and challenges associated with crawling vast amounts of web data for business insights.
TBA Opportunities for additional contributions are available. Apply here!
Snacks, beverages, and stimulating discussions.