PyData Warsaw #23

PyData Warsaw is back!
Directly after vacations we are meeting for another great PyData meetup. Thanks to our friends from Politechnika Warszawska we would like to bring you another set of great talks.
18.00 - Natalia Ziemba-Jankowska (Kraft Code) - "How to allocate marketing budget - Bayesian approach to the rescue"
About Topic: The EU Cookie Law mandates that websites obtain user consent before placing cookies on their devices, a win for privacy but a challenge for Marketing Specialists. Many professionals, accustomed to relying on last-click attribution to inform their multi-channel strategies, now find themselves navigating uncertain waters. Bayesian Media Mix Modeling offers a robust solution, enabling companies to gain deep insights into the effectiveness of their specific marketing tactics across various channels—such as print, television, and social media. In this session, we will explore how to implement Bayesian Media Mix Modeling effectively, considering the dynamic nature of the advertising landscape and the current lack of comprehensive guidance in the field.
About Speaker: Data Science and Machine Learning Specialist with nearly six years of experience. Previously focused on Computer Vision, Audio Machine Learning, and the implementation of Large Language Models (LLMs). Now, in Kraft Code I'm dedicated to helping marketing teams optimize budgets and strategies through Media Mix Modeling.
18:45 - Przemysław Wysocki (Intel) - "Questioning the fundamentals - intro to Kalmogorov-Arnold Networks"
About Topic: There has been a lot of noise around KANs recently, promising a new approach to Deep learning. During the presentation we will try to answer the following questions:
- What are KANs?
- What does it mean that they have learnable activation functions?
- How do they compare to Multi-Layer Perceptrons?
- What are their strengths and weaknesses?
- What's the catch when training KANs?
- ...and more.
About Speaker: Przemysław completed his B. Eng and M. Eng at Warsaw University of Technology and is currently pursuing a startup-focused MBA degree at the Warsaw School of Economics. He has contributed to writing and researching papers, has been a member of the Microsoft ONNX Operators SIG group, and has given presentations at Poznań University of Technology, PyData Trójmiasto, and other events. He is currently employed as an AI Engineer at Intel, contributing to the OpenVINO project.
Venue:
Centrum Innowacji Politechniki Warszawskiej, ul. Rektorska 4
Room 3.12 (3rd Floor)