Scaling Data Analysis with Apache Mahout

With growing amounts of digital data at the fingertips of software developers, the need for a scalable, easy to use framework is tremendous. This talk introduces Apache Mahout--a project with the goal of implementing scalable machine learning algorithms for the masses.

Detalles Bibliográficos
Autor Corporativo: O'Reilly strata making data work conference (-)
Otros Autores: Drost, Isabel, author (author)
Formato: Video
Idioma:Inglés
Publicado: O'Reilly Media, Inc 2011.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629162006719
Descripción
Sumario:With growing amounts of digital data at the fingertips of software developers, the need for a scalable, easy to use framework is tremendous. This talk introduces Apache Mahout--a project with the goal of implementing scalable machine learning algorithms for the masses.
Notas:Title from title screen.
Descripción Física:1 online resource (1 video file, approximately 39 min.)