October 28, 2010
Scientific debugging # Quite some years ago I ready Why programs fail - a systematic guide to debugging - a book written on the art of debugging programs written by Andreas Zeller (Prof. at University Saarbrücken, researcher working on Mining Software Archives, Automated Debugging, Mutation Testing and Mining Models and one of the authors of famous Data Display Debugger).
One aspect that I found particularly intriguing about the book was up to then known to me only from the book Zen and the Art of Motorcycle Maintenance: Scientific debugging as a way to find bugs in a piece of software in a structured way with methods usually known from the scientific method.
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October 25, 2010
Machine Learning Gossip Meeting Berlin # This evening the first Machine Learning Gossip meeting is scheduled to take place at 9p.m. at Victoriabar: Professionals working in research advancing machine learning algorithms and industry projects putting machine learning algorithms to practical use meet for some drinks, food and hopefully lots of interesting discussions.
If successful the meeting is supposed to take place on a regular schedule. Ask Michael Brückner for the date and location of the next meetup.
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August 11, 2010
NoSQL summer Berlin - this evening # This evening at Volkspark Friedrichshain, Café Schoenbrunn the next NoSQL summer Berlin (organised by Tim Lossen) is meeting to discuss the paper on Amazon’s Dynamo “Dynamo: Amazon’s Highly Available Key-value Store”. The group is planning to meet at 19:30 for some beer and discussions on the publication.
March 17, 2010
Learning To Rank,
dima,
dups,
NOSQL,
Science,
mapreduce,
Mahout,
topic tracking,
topic detection,
hbase,
pnuts,
TU Berlin Seminar on scaling learning at DIMA TU Berlin # Last Thursday the seminar on scaling learning problems took place at DIMA at TU Berlin. We had five students give talks.
The talks started with an introduction to map reduce. Oleg Mayevskiy first explained the basic concept, than gave an overview of the parallelization architecture and finally showed how jobs can be formulated as map reduce jobs.
His paper as well as his slides are available online.
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March 9, 2010
Learning to Rank Challenge # In one of his recent blog posts, Jeff Dalton published an article on currently running machine learning challenges. Especially interesting for those working on search engines and interested in learning new rankings from data should be the Yahoo! Learning to Rank Challenge to be held in conjunction with this year’s ICML 2010 in Haifa, Israel. The goal is to show that your algorithm does not only scale on real-world data provided by Yahoo!
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February 15, 2010
MLOSS workshop at ICML accepted # The workshop on machine learning open source software has been accpted. Find further details on the workshop homepage.
Submissions are open until April 10th, Samoa time.