Making Rails More (Artificially) Intelligent slides & source code

I have just posted the session slides and source code of the RailsConf Europe talk Making Rails More (Artificially) Intelligent that Santiago Bel and me did last Tuesday. You can download them all at bee.com.es

We hope you find them useful. Please note that the ones that are at the railsconfeurope.com web are out of date, now I will send the updated slides to o'reilly.

Bayesian Networks for Ruby release 0.9

Bayesian Networks for Ruby (bn4r) permits create, modify, solve, import and export Bayesian Networks, give it a try and infer some probabilities with them!

This release includes suport for discrete variable nodes, now you can use nodes with values like {small, normal, big} instead of {true, false}.

Export to Microsoft Belief Network has been improved.

As previous releases you can solve your networks with enumeration_ask, prior_sample, rejection_sampling and likelihood_weighting algorithms.

Testing work will be appraised, if you are interested please contact me in http://rubyforge.org/projects/bn4r or at sergio.espeja (you know what ...) gmail.com.

More info:

• bn4r Website: http://bn4r.rubyforge.org
• bn4r Rubyforge project: http://rubyforge.org/projects/bn4r
• bn4r spanish website: http://bn4r.rubyforge.org/es