
core
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emergent is a comprehensive, full-featured neural network simulator that allows for the creation and analysis of complex, sophisticated models of the brain in the world. With an emphasis on qualitative analysis and teaching , it also supports the workflow of professional neural network researchers. The GUI environment allows users to quickly construct basic networks, modify the input/output patterns, automatically generate the basic programs required to train and test the network, and easily utilize several data processing and network analysis tools. In addition to the basic preset network train and test programs, the high level drag-and-drop programming interface, built on top of a scripting language that has full introspective access to all aspects of networks and the software itself, allows one to write programs that seamlessly weave together the training of a network and evolution of its environment without ever typing out a line of code.
Emergent
Carl Jung en castellano
Siempre he tenido la inquietud fallida de comentar acerca de los eventos a los cuales por una u otra razón asisto, la mayoría de las veces para aprender y otras para poder generar networking, principalmente dentro de temas de emprendimiento, diseño y negocios. Así pues, en Bogotá tuvimos la gran oportunidad de vivir un evento de carácter global, como lo es un TEDx, iniciativa independiente bajo los parámetros de TED Global, gracias a la iniciativa de @young_marketing y a un gran equipo de trabajo que durante 2 años buscaron que esta oportunidad se diera en la ciudad. Mi participación se dio principalmente por mi gusto por las charlas y por los vídeos que constantemente se publican dentro de la plataforma, e incluso, de forma independiente en YouTube, muchos de ellos de lugares recónditos como África. Paso pues, a contar mis comentarios y opiniones:
TEDxBogotá, algunas percepciones del evento « Notas propias y ajenas sobre emprendimiento
Consequences of fear « Paulo Coelho’s Blog
Clicker.com - Wikipedia, the free encyclopedia
In April, Clicker launched its iPad Edition [ 9 ] . Users who visit the site from their iPad will be automatically redirected to a special version of Clicker that provides a complete programming guide for the iPad, making it easy for iPad users to find what broadcast-quality programming is available to watch and what's not. Clicker also has mobile apps for the iPhone and Android devices which let users check-in to share what they're watching, find programming to watch on their phone, and manage their Playlist. [ 10 ]Flixster - Wikipedia, the free encyclopedia
MusicBrainz - Wikipedia, the free encyclopedia
Tank Top TV aggregates listings from BBC iPlayer , Channel 4 , ITV Player and Demand Five . Users can personalize their listings by removing programmes or categories they are not interested in. It also provides personalized programme recommendations based on a proprietary algorithm based on collaborative filtering .
Tank Top TV - Wikipedia, the free encyclopedia
Last.fm - Wikipedia, la enciclopedia libre
Last.fm es una red social , una radio vía Internet y además un sistema de recomendación de música que construye perfiles y estadísticas sobre gustos musicales, basándose en los datos enviados por los usuarios registrados. Algunos de estos servicios son de pago, pero aún existen países donde sigue siendo gratuito. En la radio se puede seleccionar las canciones según las preferencias personales (de acuerdo a un algoritmo y a las estadísticas) o de otros usuarios. El servicio es de código abierto .Genieo - Wikipedia, the free encyclopedia
Easyrec - Wikipedia, the free encyclopedia
easyrec is an open source Web application that provides personalized recommendations using RESTful Web services to be integrated into Web enabled applications. It is distributed under the GNU General Public License by the Studio Smart Agent Technologies and hosted at SourceForge . The development of easyrec, an implementation of the Adaptive Personalization [ 2 ] [ 3 ] [ 4 ] approach, started in the course of several research and development projects [ 6 ] conducted by the Studio Smart Agent Technologies in close cooperation with international companies. During the year of 2008 the core functionality of easyrec was developed [ 7 ] forming the basis of research prototypes focusing on the music domain (e.g.“ Target ” que en inglés signfica “objetivo” en el sentido de blanco al que se dispara, es un término que, trasladado al terreno del marketing y la publicidad, refiere a a un segmento (fracción) del mercado que sería potencial consumidor del producto ofertado. Target Group es por tanto el segmento de personas a las que deseamos enviar nuestra comunicación o vender nuestros productos o servicios. El cualquier caso, el concepto deviene de la Mass comunication research , en particular la teoría de las categorías sociales que, en efecto, postula que individuos pertenecientes a un mismo grupo social, tendrán reacciones similares frente a mensajes mediáticos de diversa índole. Podemos utilizar infinidad de variables de segmentación .
Target Group
About me and why I read this book I've been programming professionally for ~7.5 years, mainly business applications and reporting, so I already have quite some love for data. While I haven't used math much in my day jobs, I liked (and was good at) it in high school, including taking extra classes - so I have learned basic statistics. Refreshing and advancing my data analytics skills is one of my goals this year, and reading this book was part of the plan. About the book
Programming Collective Intelligence - O'Reilly Media
Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information filtering system that seek to predict the 'rating' or 'preference' that a user would give to an item (such as music , books , or movies ) or social element (e.g. people or groups ) they had not yet considered, using a model built from the characteristics of an item (content-based approaches) or the user's social environment (collaborative filtering approaches) [ 1 ] [ 2 ] . Recommender systems have become extremely common in recent years. A few examples of such systems: When viewing a product on Amazon.com , the store will recommend additional items based on a matrix of what other shoppers bought along with the currently-selected item [ 3 ] .

