Dentro de una semana, en la asignatura Cloud Computing and Big Data que imparto en la Facultad de Informática de Barcelona (UPC) tenemos el placer de tener con nosotros a la empresa la start-up bigML de la mano de Jao,  vendrá a compartir su experiencia y conocimientos en los seminarios dentro del curso, gracias a la colaboración de los grupos de investigación LARCA-UPC y eBusiness-BSC. Los seminarios son abiertos a toda la comunidad académica de la UPC. Los detalles de la conferencia a continuación. ¡Están todos invitados!

 

Seminarios de Cloud Computing & Big Data – FIB
El caso de la start-up bigML:  aprendiendo del Big Data usando el Cloud
a cargo de  Jao (Jose A. Ortega Ruiz) (presentación en castellano y live demo del entorno)

Jueves 13/12/2012 a las 15:00
Sala A6203 ( módulo A6, segunda planta)
Campus Nord de la UPC

 

jao holds a Ph.D. in theoretical Physics (Barcelona) and a BS in Computer Science (Madrid), and he turned to computers in the 90s working for telecoms and aerospace (Indra), AI and web security startups (Isoco, Scytl), our internet overlords (Google), next-generation user interfaces (Oblong), with an interlude in academia teaching programming and networks (Universitat Autònoma). jao co-founded BigML in 2011, where he’s CTO and hacker-at-large. He has been involved since the 90s in Free Software projects and programming languages (GNU MDK, Geiser, xmobar, etc.) He loves Scheme, books and he is learning to play piano.

Abstract:
This talk is about our experience in BigML, a startup creating a Machine Learning platform geared towards intelligent, distributed processing of big data in the cloud, offered as a SaaS platform for the non-initiated. We’ll see our current platform in action and discuss the algorithms and machine learning techniques (such as decision trees) that are used under the rug, as well as the knobs and fine tuning available to advanced users of the service.  We’ll also touch upon our technology choices (such as clustering, messaging or storage systems) and non-choices (e.g. Hadoop) and how they’ve been influenced not only by technical constraints, but also by the need to quickly evolve and transform the system as we grow to understand our problems and their solutions better.

 

 

 

2018-01-12T23:31:50+00:00 December 5th, 2012|