It’s just data
Les Orchard: Using a Bayesian approach, or some other form of machine learning, as applied to my aggregator and my viewing patterns is something I've been wanting for awhile now. I've done some very, very primitive self-monitoring with AmphetaOutlines, but I'd like to get back to some machine learning research and build an enhanced aggregator that learns what makes me click.
What if we could marry Chandler and SpamBayes (both in Python)...
Spam being the visceral topic that it is, yesterday's item provoked a number of responses. An email correspondent asks whether SpamBayes can deal with tricks like image-only messages, or words obfuscated with interposed characters. So far, not a...
Excerpt from Jon's Radio atFollowing a thread from Sam Ruby it seems there is definitely potential for that Intel Bayesian library if the licensing is not to restrictive to prevent adoption in the open source world. Ultimately I agree with Matt Griffith, help me......
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Trackback from Marc's terminal
Processing XML configuration files using XSLT Emacs for MacOS X The Fishbowl: Dear XML Programmers... NSLog(); - The Common Folk Welcome to Belkin - Nostromo n50 SpeedPad Guardian Unlimited | Special reports | The two faces of Rumsfeld Sam Ruby:...
Excerpt from 0xDECAFBAD atWell, this is exactly the direction I've been heading towards, but w/o using Bayesian (I make my living as a Dataminer, and I consider Bayesian a bit too blunt an instrument). At any rate, my newsbot is here: http://memigo.com/ --and it's all in 100% python no less. I am right at the point where the code can start discriminating based on content (content-based filtering) and there is already a measure of collaborative filtering built-in. Try it out!
Posted by Costas Malamas at