Machine Learning on Streams

Dear Big Data Beerer's,

It is my pleasure to announce the next meeting / talk:

Speaker: Dr. Mikio Braun, Streamdrill inc.

Topic: Machine Learning on Streams

Date: 15.4.2014 (Tuesday!)
Time: 19:30 / 7:30 pm

Location: TU Berlin, HE 101, the big bulge at the tail of the red/blue Mathematic Building at Strasse des 17.Juni near Ernst-euter Platz

https://www.mydesk.tu-berlin.de/campusuebersicht/raum/26538.html

Abstract: An important category of Big Data is real-time data, for example given by log data, sensor data, user interaction events, and so on. In this talk I will discuss basic learning challenges from streams, recent progress in frameworks like Twitter's Storm and Apache Spark, and talk about stream mining as an alternative approach to learning from streams which does not rely on brute force scaling.

Two more comments:

1. This time we have more space than ever with over 800 seats! So no waiting lists any more. Hence you should bring all your colleagues, friends and whoever is interested in this topic. It's a huge hall...

2. We are not sure about the amount of beer but there will be enough to drink for everyone :-)

Hope to see you all in April!

Your Big Data Beers Team

P.S: We are working hard to get good sessions for May and later on the way. If you have any contacts or ideas please get in touch with us!