Meetup

VDSG Summer Eis

Hey fellow data lovers, Let’s get the summer going with a few scoops of ice cream after work! Let’s come and join us for a chat in Gelateria Castelletto @Schwedenplatz.

Data Stammtisch @ DAS CAMPUS - Thu 7pm

Dear Community, Let’s get together for a Stammtisch (an informal gathering and discussion) next Thursday. This is going to be a free-form event. Join us to get to know each other …

Memorable February - VDSG meets AI Frankfurt

Dear VDSG community, We have joined forces with our friends at the AI Meetup Frankfurt to deliver a co-hosted event for you. This event is going to be hosted online; we can’t wait …

X-Europe DS: Data-Centric AI Practices

In computer vision projects, managing data is often an afterthought. That is why at least 31% of projects fail. Davit Buniatyan, CEO of Activeloop, will talk about how to build a …

X-Europe: Digitizing Construction with AI

Hi Everyone, X-Europe Webinars is back with an exciting talk about AI in Construction Projects! Please RSVP here for the event AND Register on the webinar’s page: …

Causal Inference at Lyft

REGISTER HERE: https://webinar-causal-inference.carrd.co/ ABOUT THE SPEAKER Data scientist, social scientist, statistician, and software developer. Sean mostly specializes in …

Modeling difficulty of English exercises - probabilistic programming approach

Selecting test exercises with an appropriate difficulty level is one of the most important aspects of a high-quality assessment, but how do we know how difficult a given exercise …

Data Excellence Strategy of the city of Vienna - VDSG at CEU

Thursday, April 29, 2021, 4:30 pm – 5:00 pm Speaker Brigitte Lutz | City of Vienna =================== JOIN HERE AT 16:30: …

X-Europe Webinar #17 - Apache Arrow & Flight on Data Lakes

Data and analytics for all: Separation of Data tier and Zero Copy powered by Apache Arrow & Flight and Dremio In an effort to be data-driven, many organizations are looking to …

X-Europe Webinar #16 - Machine learning in drug discovery

Drug discovery R&D is still a huge challenge for the pharmaceutical industry. It is expensive, has a high percentage of failure in programmes and this translates into a high …