Thursday, January 27

Forget the Superbowl, Host a Watson Jeopardy Party

The IBM Watson Jeopardy contest is happening February 14th, 15th ,16th. The time to start planning your party is now!

Buy a Watson Poster now to start advertising.

It will be human vs. machine showdown and costumes are encouraged! Perhaps an stick-on Lemur tattoo might be appropriate.

For food consider:
- Robot 'Chips' - homemade potato chips tossed in herb salt
-"Buzz in" Mousse - A chocolate-coffee mouse with chocolate covered espresso beans
- A jeopardy themed cake with a robot chasing a human (think Bender from Futurama)

Leave more suggestions in the comments!

(For some more details on how Watson works read, Building Watson: An Overview of the DeepQA Project - AI Magazine).

Also read Stephen Baker's new book, Final Jeopardy. The eBook is available on Amazon now and the first chapter is free to read. The last chapter will be released after the match.

Wednesday, January 26

Sofia-ML and Maui Two Cool Machine Learning and Extraction libraries

Niranjan recently suggested I check out Sofia-ML as a fast tool for some learning to rank applications. From the description,
The suite of fast incremental algorithms for machine learning (sofia-ml) can be used for training models for classification, regression, ranking, or combined regression and ranking. Several different techniques are available. This release is intended to aid researchers and practitioners who require fast methods for classification and ranking on large, sparse data sets.
It is written in C/C++. One nice feature is that it supports the LETOR feature file format for ranking. They describe some of the algorithms in Large Scale Learning to Rank from NIPS where they presented algorithms for fast learners for approximate SVMs. The Combined Regression and Ranking (CRR) work was presented as a paper at KDD 2010.

The other package I recently discovered was Maui-Indexer. Maui-Indexer is an extension of the KEA key phrase extractor.
... it allows the assignment of topics to documents based on terms from Wikipedia using Wikipedia Miner. Maui also has many new features that help identify topics more accurately.
You can read more about it on the web page and read the publications.