Data Science Meetup Hamburg

Hamburg Data Science Meetup
Hamburg Data Science Meetup
Public group
Location image of event venue


=== Doors open @ 6:30 ===

=== Networking ===

=== Small intro ===

=== Fred Türling (Senior Vice President Information Science @Eventim) ===

=== Break & Networking ===

=== Talk 1 ===
Dr. Shirin Glander (codecentric AG) on explaining Complex Machine Learning Models with LIME:

Traditional machine learning workflows focus heavily on model training and optimization; the best model is usually chosen via performance measures like accuracy or error and we tend to assume that a model is good enough for deployment if it passes certain thresholds of these performance criteria. Why a model makes the predictions it makes, however, is generally neglected. But being able to understand and interpret such models can be immensely important for improving model quality, increasing trust and transparency and for reducing bias. Because complex machine learning models are essentially black boxes and too complicated to understand, we need to use approximations to get a better sense of how they work. One such approach is LIME, which stands for Local Interpretable Model-agnostic Explanations and is a tool that helps understand and explain the decisions made by complex machine learning models.

Dr. Shirin Glander is Data Scientist at codecentric AG. She has received a PhD in Bioinformatics and applies methods of analysis and visualization from different areas - for instance, machine learning, classical statistics, text mining, etc. -to extract and leverage information from data.

=== Talk 2 ===
Max on the Hitchhiker's guide to the Kerasverse:

"Other hitchhikers had seen to modify their towels in exotic ways, weaving all kinds of esoteric tools and utilities and even computer equipment into the fabric."

Keras has established itself as one of the most popular and accessible Deep Learning frameworks in the world. It is widely used among practitioners and has a buzzing community. On top of that, over the last years many powerful third party extensions have been built. In this talk we'll showcase some of these extensions, with a focus on tools that ease and enhance your data science workflow.

Max is a Deep Learning engineer at SF-based, bringing Keras and TensorFlow to the JVM, and co-founder of Deep Learning platform He is the author of "Deep Learning and the Game of Go" at Manning and Coursera instructor for "Applied AI with Deep Learning". Max has been a Keras contributor since day one, is Deeplearning4J core developer, maintainer of Hyperopt. === Networking ===

=== Closing ===