はじめてでもわかるベイズ分類器 －基礎からMahout実装まで－This document discusses Mahout, an Apache project for machine learning algorithms like classification, clustering, and pattern mining. It describes using Mahout with Hadoop to build a Naive Bayes classifier on Wikipedia data to classify articles into categories like "game" and "sports". The process includes splitting Wikipedia XML, training the classifier on Hadoop, and testing it to generate a co
