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 TNG for hosting and sponsoring the meetup!!
18:00 Door opening
18:45 "Machine Learning Operations (MLOps)" Filip Savic, Dr. Christoph Gietl (45min)
19:30 Pizza break (45 min)
19:45 "SHAP 101: post-hoc model agnostic explanation and beyond" Yingding Wang (45 min)
20:30 Open Mic + Networking
21:30 Door closing
- "Machine Learning Operations (MLOps)" Filip Savic, Dr. Christoph Gietl
MLOps is an engineering practice aimed at productionizing machine learning systems by bridging the gap between development and operations. We present best practices and tools as well as hands-on experience from our client work.
- "SHAP 101: post-hoc model agnostic explanation and beyond" Yingding Wang
Biases in a training dataset may lead to the creation of machine learning models with skewed outcomes, systematic prejudice, and even low accuracy that do not represent business use cases effectively. SHAP (SHapley Additive exPlanations) by Lundberg and Lee is a method for explaining individual predictions by computing the contribution of each feature to the prediction. In this talk, we will explore the capabilities of the SHAP Python package together.
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!