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Kaggle is a platform for data science competitions, where you can improve your skills and compete with others to solve real-world problems. Whether you're a beginner or an experienced data scientist, this meetup is for you.

Big thanks to Concept Reply GmbH for hosting and sponsoring the meetup!!

Agenda:
18:00 Door opening
18:25 Introduction
18:30 Dimitrii Rudenko Ice Cube- Neutrinos in the Deep Ice lessons learned (30 min)
19:00 Tamás Norbert Varga Generative data calibrates the sky (30 min)
19:30 Aydin Javadov Explainable AI in Dermatological Decision Making (30 min)
20:00 Networking + Pizza

Descriptions:

That Kaggle competition mostly had custom architectures, but also it had some great useful hacks we need to remember when handle rally huge amount of data.

Dark energy, the force behind the accelerating expansion of the Universe, remains an unsolved mystery in physics. Researchers at LMU and Max Planck for Extraterrestrial Physics use machine learning and Bayesian inference to analyze vast surveys of galaxies to better understand cosmic expansion. To calibrate and validate their tools, they create generative synthetic data models. This talk will discuss the key machine learning methods used in the Dark Energy Survey (DES) and the Legacy Survey of Space and Time (LSST), as well as their potential real-world applications with business value.

  • Explainable AI in Dermatological Decision Making by Aydin Javadov

We will introduce and motivate explainability. Then we will present the domain problem, Model Building, Model explaining with several methodologies.

  • See you soon!

Don't miss out on this opportunity to learn, network, and have fun with other Data Science- / ML- / Kaggle fans!

We are always looking for speaker. If you have any ideas or suggestions, please don't hesitate to let us know.

We look forward to seeing you at the next Kaggle meetup!

Deep Learning
Data Science
Kaggle Competition
Computer Programming
Tech Talks

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