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

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

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

"lisp machine window system manual.
"lisp machine window system manual.

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

"lisp machine manual", third edition.
"lisp machine manual", third edition.

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.

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.

"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.

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.

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.

le interesan las áreas de visión por computador, procesamiento de imágenes y "machine learning", y su aplicación en la resolución de problemas diarios.
pol is interested in areas such as computer vision, image processing and machine learning, an their applications to the solution of everyday problems.

== 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.

según avanza el desarrollo de la tecnología machine learning, nos estamos acercando a una era en la que no tendremos que estar tan centrados en el análisis de datos, sino estudiar los outputs que ésta nos ofrezca.
as advancements in machine learning technology accelerate, we’re approaching an era where we won’t need to be so hands-on with data.

== investigaciones en machine learning ==en el 2011, ng fundó el proyecto google brain en google, el cual desarrolla una red neuronal a gran escala usando la infraestructura de computación distribuida de google.
== machine learning research ==in 2011, ng founded the google brain project at google, which developed very large scale artificial neural networks using google's distributed computer infrastructure.

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.

mit ai lab, january 1979* daniel weinreb and david moon, "flavors: message passing in the lisp machine", 1980* daniel weinreb and david moon.
mit ai lab, january 1979* daniel weinreb and david moon, "flavors: message passing in the lisp machine", 1980* daniel weinreb and david moon.

la otra compañía creada era lisp machines, inc., aunque symbolics atrajo a más expertos y fondos.
the other was lisp machines, inc., although symbolics attracted most of the hackers, and more funding.

* symbolic language data processing system, weinreb, daniel l., holloway, john t., moon, david a., cannon, howard i., knight, thomas f. edwards, bruce e., european patent application ep0113460* richard d. greenblatt, thomas f. knight and daniel l. weinreb, "the lisp machine" in "interactive programming environments" by david r. barstow, howard e. shrobe and erik sandewall (editors)* d weinreb, n feinberg, d gerson, c lamb, an object-oriented database system to support an integrated programming environment, data engineering bulletin, 1988* charles lamb, gordon landis, jack orenstein, daniel weinreb, "the objectstore database system", "communications of the acm", october 1991, vol.
* symbolic language data processing system, weinreb, daniel l., holloway, john t., moon, david a., cannon, howard i., knight, thomas f. edwards, bruce e., european patent application ep0113460* richard d. greenblatt, thomas f. knight and daniel l. weinreb, "the lisp machine" in "interactive programming environments" by david r. barstow, howard e. shrobe and erik sandewall (editors)* d weinreb, n feinberg, d gerson, c lamb, an object-oriented database system to support an integrated programming environment, data engineering bulletin, 1988* charles lamb, gordon landis, jack orenstein, daniel weinreb, "the objectstore database system", "communications of the acm", october 1991, vol.