Current trends in Data Science - Codete & GfK meetups

Curious about what's trending in data science now? 🕵 Come to the "Current Trends in Data Science" ML meetup by GfK & Codete!

We're going to meet on-site in Warsaw and Krakow to talk about things such as automated quality tracking, machine learning progress, and effective Data Science in production.

After the presentations (in English), you can count on networking & snacks!

Check out the topics:

📌  Finding the Needle in the Haystack - GfK's Journey from Manual Checks to Automated Quality Tracking by Dr. Benedikt Mangold

📌  Reality Check: Is Machine Learning Progress Real? Evaluation Based on the Computational Budget by Michał Jungiewicz

📌  Beyond proof of concept - Effective Data Science in Production by Dr. Vlad Ardelean

Save the dates:

🗓  19.10.2021 (Tuesday), 6pm-9pm, Krakow - Techie's by Codete at Na Zjeździe 11, 30-527 Krakow -> Codete buildground floor, main entrance.

🗓  21.10.2021 (Thursday), 6pm-9pm, Warsaw - Warsaw University of Technology, CZIiTT - Centrum Zarządzania Innowacjami i Transferem Technologii at Rektorska 4, 00-614 Warsaw (pw.edu.pl) -> 4.01; 4.02, 4 floor. 

Meet the speakers:

🎤  Dr. Benedikt Mangold - Senior Data Scientist at GfK in Nuremberg. He has over 10 years of experience in the fields of statistics and machine learning, applied to marketing intelligence, finance, and property. He studied mathematics and economics and earned his doctorate at the University of Erlangen-Nuremberg where he also conducts lectures concerning statistics, Data Science, and programming courses.

🎤  Michał Jungiewicz - Senior Data Scientist at Codete, PhD candidate at AGH University of Science and Technology, Warsaw University of Technology graduate. His PhD research is focused on natural language processing. At Codete, Michał works in the field of medical machine learning.

🎤  Dr. Vlad Ardelean - Data Scientist at GfK in Nuremberg with over 10 years of experience in the fields of statistics and machine learning. As a data science lead, he focuses on developing end-to-end solutions with a cross-functional team, especially in the area of data quality. He completed his studies in mathematics/economics at the Friedrich Alexander University in Erlangen-Nuremberg where he also earned his doctorate at the chair for statistics on the identification of outliers in time series.

The event is free, but registration is required.

PS Please remember about the sanitary precautions.