Independent: A non-profit organization! Specific: Data Science! Local: Munich!
Get an overview of who we are, what we do, why you need to get in touch with us, and how you can participate in our club and meetups.
You want to support our club and meetup? You want to help us making Munich the leading data science hub in Europe? Excellent – click here.
Click here if you want to find out more on our regular datageeks meetups, your first choice to get connected with Munich’s data science community.
Looking for a new challenge? Do you plan to hire new data scientists? Here you find the best selection of data science offerings in Munich.
Check out the Munich Datageeks Meetup
Interesting Data Science talks, networking and food + drinks
Latest news for Munich's Data Scientists
Cloud Native Night Munich #3: It’s all about Cloud Native – On November 24th QAware will present the third Meetup of a four part series on Cloud Native Applications and everything around that. What to expect: an informative and inspirational evening with top speakers from Vamp.io, Rancher & Microsoft exclusive insights on cloud native[…]
Hi DataWorkers, it gives me great pleasure to inform you that next year Hadoop Summit will be held in Munich on April 5-6, 2017. This is an exceptional opportunity for the data community in Munich to present itself to the best and brightest in the data community. Please take this opportunity to hand in your[…]
Upcoming events: Looking for the best coder in town! Burda Hackday team is organizing the first Code Slam Munich – on November 22th, 2016. This is a “hackathon on steroids” – each carefully selected participant will have only 4 hours to work on a challenge that will be announced only that night. So there will[…]
Software Architecture Conference: Software Architecture is the professional training event that’s not just for software architects but for any engineer, programmer, developer, or team leader who does part of an architect’s job in the course of their work. That’s probably you. Get coverage of the most important topics of the day—microservices, software architecture fundamentals, modernizing[…]
Abstract: A lot of data is best represented as time series: Operational data, financial data and even in general-purpose DWHs the dominant dimension is time. The area of time series databases is growing rapidly but the support in Spark to process and analyze time series data is still in the early stages. We present Chronix[…]
Abstract: In the recent past, community norms helped guide a clear sense of ethical boundaries with respect to privacy. One does not peek into the window of a house even if it is left open. Data collection via apps on smartphones allows businesses to open a virtual window into the private sphere of users. The[…]
Abstract: With the rise of Deep Learning, paradigms have changed in several well-established fields of computer science. Algorithms that had been developed for decades were instantly outperformed by deep neural networks and often levels of performance were reached that seemed unimaginable. Computer Vision was one of the first areas that were conquered by Deep Learning. AlexNet, a deep Convolutional Neural[…]
Abstract: Bayesian models, such as topic modeling (LDA), have had enormous impact on natural language processing. Although deep neural architectures have improved performance on many tasks, there are still many problems that lend themselves best to a Bayesian treatment. In this talk, we will motivate and develop a Bayesian model for verb sense induction, based[…]
Since we started our meetups in 2013 we have seen an impressive growth of our community. Although we already count more than 2000 members on our meetup-page, we welcome three new members every day, on average.
With the foundation of the club in 2015, we now aim at pushing the numbers even further, making Munich the #1 Data Science Location in Europe.
Great Datageeks Meetups
We are the executive board of the Munich Datageeks e.V.
Some people train dogs, some horses. I failed in training my cats, so I tried to start with some simpler things like computer systems.