Please join us for our second meetup in the year 2014 which will be hosted by TrustYou again.
- 2 presentations (each ca. 30-40 min incl. discussion)
- Of course time for networking + food + drinks before, in between and especially after the presentations
- Talks are held in English
1) Lennart Koopmann (TORCH / Graylog2 Project)
Title: "Log Management with Graylog2"
Graylog2 is a free and open source log analysis tool that allows you to perform searches, analyse the data, build dashboards and set alarms using the streams system. Typical use cases range from debugging platform problems &amp; monitoring exception counts to displaying average pizza delivery time per state on a dashboard. In this talk I will go through the architecture of Graylog2, what you can do with it and how to get your data into it.
Lennart Koopmann has started the Graylog2 project in 2010 and founded TORCH as a company behind it in 2012. A team of developers at TORCH is working on Graylog2 in full time since 2013. Lennart worked at Jimdo and XING before where he collected years of experience in developing and maintaining huge distributed systems and architectures. When not working on Graylog2 he is training for an Ironman triathlon with differing success.
2) Dr. Torsten Schön (Dotplot)
Title: "How to gain a foothold in the world of classification"
This talk is supposed to serve as a basic introduction to classification. I will explain some common classification algorithms and fundamentals in the field of classification. Before starting to learn a model, it is crucial to explore and understand the underlying data. Based on these findings, proper feature engineering and selection is to be performed in order to get appropriate results. After choosing a model and classifying data instances, we will see different methods of evaluating the results, using techniques like cross-validation. All of this will be demonstrated by analyzing a public data set within a free cloud based data analysis tool called dotplot designer.
Torsten Schön is working for dotplot GmbH since May 2013 and is responsible for the complete bandwidth of data analysis and statistic functionality. Originally, he studied Bioinformatics at the Hochschule Weihenstephn-Triesdorf where he first touched the field of classification during his diploma thesis at Siemens research department. After working as a software developer for almost one year, he started doing his PhD in machine learning at the University of Regensburg. The main task was to create a novel bio-inspired structure-learning algorithm for Bayesian Networks. This algorithm was used together with other classification methods to identify novel biomarker candidates. Since winter semester 2013, Torsten also holds lectures at the FHM Bamberg in descriptive and inductive statistics.
How to get there:
The building is not the easiest to find!
--> U-Bahn: U1 Georg-Brauchle-Ring - go south-east, pass through a kinda industrial area (car dealer is there), see the MTZ building.
--> Tram: Borstei - from there go north and pass the SWM building along the path to the left of it. See the MTZ building ahead of you on the right.
In any case: a working smartphone helps! ;)
Once you enter the MTZ you will see signs leading you to the meeting room on the 1st floor. See you all there.