PyData Cluj-Napoca: Meetup #19

As spring blossoms come to a close, join us for an exhilarating and insightful meetup featuring two captivating sessions designed to ignite your passion for cutting-edge AI and network analysis. Let’s celebrate the season of growth and renewal with exciting new knowledge and hands-on experiences!

Join us for a social and informative evening!

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"From climbing a mountain to Large Language Models: A path of Reinforcement Learning" by Imre Mali

In machine learning, supervised learning often takes the center of the stage almost exclusively and more often than not, unjustly. A less popular approach, Reinforcement Learning has been around to solve control problems like balancing a pole on a cart, playing Atari games, defeating the world champion in chess and Go - and nowadays, to fine tune Large Language Models. In this talk we will take a hands-on approach and walk through the basics of this hidden force behind the most spectacular AI achievements, and debate why reinforcement learning might be the key to Artificial General Intelligence.

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"Exploring Connections: Modeling and Visualizing Complex Networks" by Bogdan Mursa

The presentation is designed to equip participants with the skills to model, analyze, and visualize complex networks using state-of-the-art tools. This session will begin with an introduction to complex network theory, focusing on its significance in social analysis and its application in understanding structural patterns and behaviors within various systems.
Participants will actively engage in sourcing complex network data from open-source repositories, gaining practical experience in identifying and retrieving relevant datasets. With Python and the NetworkX library, we will analyze these networks, extracting topological properties and interpreting the contextual meanings of real-world networks.
We will cover crucial analytical techniques including the detection and extraction of significant nodes and communities, and the understanding of centrality measures to identify influential nodes within the network. Further, we will employ Gephi, a powerful tool for network visualization, to bring our analyzed data to life visually.
This hands-on session is perfect for anyone interested in the practical applications of network theory in research or industry, offering insights and techniques that can be applied to a broad range of disciplines and professional contexts.

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