Java User Group - Apache Mahout - Scalable machine learning library

Liebe JUG BB-Mitglieder und Interessierte,

hiermit laden wir Euch herzlich zu unserem nächsten September-Vortrag ein, in dem uns Isabel Drost das Apache-Projekt Mahout vorstellen wird (http://mahout.apache.org/).

Wie üblich gehen um 18:30 Uhr die Türen auf. 19:00 Uhr beginnt dann der Vortrag selber.

Mit freundlichen Grüßen

Oliver Fischer

Was ist Apache Mahout?
The goal of Apache Mahout is to make large scale machine learning easy. Mahout implements various algorithms for building recommender engines based on collaborative filtering. In addition the project features classification, clustering and frequent item set mining.
After motivating the need for yet another machine learning library the talk gives an introduction to Mahout detailing its strengths and weaknesses. It gives an introduction on which algorithms come with Mahout and what you as the end user can do with them.

Die Rednerin:
Isabel Drost is member of the Apache Software Foundation. She is organiser of the Apache Hadoop Get Together in Berlin, was co-organiser of the first European NoSQL meetup as well as the Berlin Buzzwords
conference. She co-founded Apache Mahout and is active Apache Mahout committer. Isabel is actively engaged with communities of various Apache projects, e.g. Apache Lucene and Apache Hadoop. She is regular speaker at renown conferences on topics related to free software development, scalability, Apache Lucene, Apache Hadoop and Apache Mahout.