Je was op zoek naar: parameters vs hyperparameters in machine lear... (Spaans - Engels)

"experience, generations, and limits in machine learning.
"experience, generations, and limits in machine learning.

machine learning in automated text categorization.
machine learning in automated text categorization.

machine learning, 3(2), 95-99.
machine learning, 3(2), 95-99.

( cash − in machine )
( cash − in machine )

“machine learning permite entregar la personalización y la relevancia.”
“machine learning allows you to deliver personalization and relevance.”

in encyclopedia of machine learning, claude sammut and geoffrey webb (eds), springer, 2010.
in encyclopedia of machine learning, claude sammut and geoffrey webb (eds), springer, 2010.

( cash recycler cash − in machine )
( cash recycler cash − in machine )

el machine learning y el enfoque de datos ayudan a la gente a entender al consumidor.
machine learning and the data approach help people understand the consumer.

definiciónde con machine learning para poner en cuarentena los incidentes antes de que afecten a sus redes.
definition with machine learning to quarantine incidents before they affect your networks.

( cash − recycler cash − in machine )
( cash − recycler cash − in machine )

proyecto de investigación y desarrollo de nuevas tecnologías predictivas basadas en modelización dirigida en el ámbito de las tecnologías de big data y machine learning.
research and development project of new predictive modeling addressed in the field of big data and machine learning technologies.

para completar este análisis, implementamos técnicas de graphical machine learning para detectar cambios en los patrones de mensajes ipv6 e identificar posibles ataques.
to complete this analysis, we implemented graphical machine learning techniques to detect changes in ipv6 message patterns and identify possible attacks.

"data mining: practical machine learning tools and techniques morgan kaufmann", 664 pág., isbn 978-0123748560.
"data mining: practical machine learning tools and techniques" morgan kaufmann, 664pp., isbn 978-0123748560.

ng enseño uno de los cursos, machine learning, el cual consistía de videos de las clases de ng, junto con otro material de la clase de stanford cs229.
ng taught one of these courses, machine learning, which consisted of video lectures by him, along with the student materials used in the stanford cs229 class.

a conference paper describing a machine learning based approach to generating music by training a model on subject pieces and then generating new pieces based on non-musical audio files.
a conference paper describing a machine learning based approach to generating music by training a model on subject pieces and then generating new pieces based on non-musical audio files.

== referencias ==== enlaces externos ==* self-organizing maps for weka: implementation of a self-organizing maps in java, for the weka machine learning workbench.
http://www.iwaponline.com/nh/up/nh2014168.htm== external links ==* self-organizing maps for weka: implementation of a self-organizing maps in java, for the weka machine learning workbench.

(1969), "some philosophical problems from the standpoint of artificial intelligence", in machine intelligence 4, ed.
(1969), "some philosophical problems from the standpoint of artificial intelligence", in machine intelligence 4, ed.

y ahora, a estas herramientas pueden ser aplicadas las nuevas tecnologías de inteligencia artificial (ai siglas en inlgés) y aprendizaje automático o de máquina ( del inglés machine learning).
and now, to these tools can be applied the new technologies of artificial intelligence (ai) and machine learning. these technologies will make standard, mechanical and repetitive work more efficient.

ng es también autor o co-autor de más de 100 artículos sobre machine learning, robótica y otros temas relacionados, y algunos de sus trabajos en computer vision (visión artificial) han sido ampliamente reconocidos.
ng is also the author or co-author of over 100 published papers in machine learning, robotics and related fields, and some of his work in computer vision has been featured in a series of press releases and reviews.

claudia sciama, directora minorista de google brasil, defendió que, a través del machine learning, las empresas logran entregar a los consumidores el contenido correcto en el momento oportuno. “estamos entrando en la era de la asistencia.”
claudia sciama, director of retail for google brazil, argued that through machine learning, companies can deliver consumers the right content at the right time. “we are entering the age of care.” that is, companies have to anticipate the needs of consumers.