brain of mat kelcey

weka is a java based machine learning workbench that i've found useful to playing with to help understand some standard machine learning algorithms. in this quick demo i show how to build a classifier for three simple datasets; two of which address the basics of text classificationbrutally short intro to weka from Mat Kelcey on Vimeo....

brutally short demo of ggobi from Mat Kelcey on Vimeo.note: non embedded version has higher res at full screen...

my favourite recommendations system is the collaborative filter; it gives good resultsand is easy to understand and extend as required.it works on the intuition thatif i like coffee, chocolate and ice creamand you like coffee and chocolateyou might also like ice creamso we need a little bit of terminology; users (me and you), items (coffee, chocolate and ice cream)in a user based collaborative filter the process isto calculate recommendation for user1 for each other user (user2) calculate user_similarity_score between user1 and user2 (0 -> 1 value ) if the user_similarity_score is non zero for each item user2...