Internet - Site Tools. Emergent. Carl Jung en castellano. Carl Jung Dr. C. George Boeree Traducción al castellano: Dr. Rafael Gautier Freud dijo que la meta de la terapia era hacer consciente lo inconsciente. Verdaderamente, hizo de este postulado el núcleo de su trabajo como teórico. Carl Jung, joven colega de Freud, se dedicó a la exploración del “espacio interno” a través de todo su trabajo. Además, tuvo la capacidad de un soñar muy lúcido e ilusiones ocasionales. Pero el uno de agosto de ese año, empezó la Primera Guerra Mundial. Cuidadosamente empezó a anotar sus sueños, fantasías y visiones, y los dibujó, pintó y esculpió. Un duende marrón cuero apareció como celador de la entrada al inconsciente. Jung soñó también mucho con cuestiones relacionadas con la muerte; con el territorio de los muertos y el renacimiento de los mismos.
Los críticos han sugerido que Jung estaba simplemente enfermo cuando todo esto ocurrió. Biografía Carl Gustav Jung nació el 26 de julio de 1875 en una pequeña localidad de Suiza llamada Kessewil. Teoría Arquetipos Maná. TEDxBogotá, algunas percepciones del evento « Notas propias y ajenas sobre emprendimiento. 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: Las charlas TED Bogotanas Las memorables Las destacadas Las decepciones Conclusiones Me gusta: Me gusta Cargando... Consequences of fear « Paulo Coelho’s Blog. Clicker.com. Clicker was an Internet video directory and search company based in Los Angeles, California. Their website aimed to be the TV Guide for all full episodes of programs available to watch on the Web.[3] It is owned by CBS Interactive. Clicker indexed only legal video that is streamable online. It did not host any content, instead focusing on helping users discover and navigate to professional content hosted by rights-holders. While much of the streaming video content Clicker indexes was available for free, Clicker also pointed to paid services like Amazon Video-on-Demand, iTunes and Netflix Watch Instantly.[3] Clicker also began indexing Comcast Xfinity, Comcast’s online library of TV shows and movies, in August 2010.[4] History[edit] The company was in stealth mode until it debuted at TechCrunch 50 (September 2009), with the stated goal of becoming the equivalent of TV Guide for the Web.[14] Clicker was runner-up for the Audience Award at the show.
Content[edit] Partnerships[edit] Flixster. Flixster is an American social movie site for discovering new movies, learning about movies, and meeting others with similar tastes in movies. The site allows users to view movie trailers as well as learn about the new and upcoming movies in the box office. The site is based in San Francisco, California and was founded by Joe Greenstein and Saran Chari in 2007.[2] Flixster has been the parent of website Rotten Tomatoes since January 2010.[3] Flixster, including Rotten Tomatoes, was acquired by Warner Bros. on May 4, 2011.[4] Site information[edit] Quantcast reports that the number of global daily page views for Flixster.com peaked at 8,331,961 on January 23, 2008 and dropped to 1,325,685 by July 5, 2008.[7] Flixster's Facebook application, called "Movies", has consistently been one of the most popular apps on the site.
Flixster Collections, a desktop application featuring a content discovery and management system, began open beta testing on July 29, 2011. Marketing practices[edit] MusicBrainz. MusicBrainz captures information about artists, their recorded works, and the relationships between them. Recorded works entries capture at a minimum the album title, track titles, and the length of each track. These entries are maintained by volunteer editors who follow community written style guidelines. Recorded works can additionally store information about the release date and country, the CD ID, cover art, acoustic fingerprint, free-form annotation text and other metadata. As of 6 February 2014[update], MusicBrainz contained information about roughly 820,000 artists, 1.2 million releases, and 13.1 million recordings.[4] End-users can use software that communicates with MusicBrainz to add metadata tags to their digital media files, such as MP3, Ogg Vorbis or AAC.
Cover Art Archive[edit] Fingerprinting[edit] Besides collecting metadata about music, MusicBrainz also allows looking up recordings by their acoustic fingerprint. Proprietary services[edit] AcoustID and Chromaprint[edit] Tank Top TV. Tank Top TV is a website providing personalized programme listings and recommendations for online TV and movies in the United Kingdom. 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. The Tank Top Movies site lists films from UK on-demand services including LoveFilm, BlinkBox, NowTV and iTunes. Tank Top TV won the Business category of the Enfield Innovation Awards 2012 and is one of the 2013 cohort at the Wayra London startup accelerator.[1] See also[edit] External links[edit] References[edit] Jump up ^ Wayra London demo day. Last.fm. 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. Se fusionó con su proyecto hermano Audioscrobbler en agosto de 2005. El 30 de mayo de 2007 el equipo de Last.fm anunció que había sido adquirido por CBS.[1] Características[editar] Las recomendaciones son calculadas usando un algoritmo colaborativo de filtrado, así los usuarios pueden explorar una lista de artistas no listados en su propio perfil pero que si que aparecen en otros usuarios con gustos similares. Cuentas de pago[editar] Etiquetas[editar] Reproductor de Last.fm[editar] El Pony[editar] Genieo. Genieo Innovation is an Israeli company, specializing in personalized Home page software which includes advertising.[2] They also own & operate InstallMac[3] which distributes additional 'optional' search modifying software with other applications.
Company overview[edit] Genieo Innovation was founded in April 2008 by Sol Tzvi and Jacob Tenenboem, with the goal of developing a personalization platform which, unlike common platforms, resides solely on the user's computer and enables desktop application providers to add personalization capabilities without jeopardizing the user's privacy. Based on concepts of text mining, behavioral targeting and personalization algorithms, Genieo has developed a framework that can automatically discover, manage and filter feeds according to users' topics of interest. On July 2008, the company raised initial funding from private investors[4] and began developing the core of its personalization and recommendation engine.
Malware issues[edit] See also[edit] Easyrec. 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. History[edit] 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. MusicExplorer[8]). Principles[edit] The following five primary goals guided the development of easyrec. Uses[edit] Although easyrec is a domain-agnostic, general purpose personalization system, the current Web service API is customized for providing online shops with item recommendations.
Blinkx. Blinkx (London AIM,[1] stylized as blinkx), is an Internet Media platform that connects online video viewers with publishers and distributors, using advertising to monetize those interactions. blinkx has an index of over 35 million hours of video and 800 media partnerships; 111 patents related to the site's search engine technology, which is known as CORE.[2] Founded in 2004, blinkx went public on the London Stock Exchange (AIM) in May, 2007. The company is headquartered in San Francisco, CA and London, England. Partnerships[edit] blinkx powers video search for sites such as AOL and ask.com. In addition, blinkx has expanded into mobile video and Connected TV through partnerships with Samsung, Sony, Roku, Orb Networks and other companies.[3] History[edit] Executives[edit] S.
See also[edit] References[edit] External links[edit] Target Group. Collective intelligence pdf - Buscar con Google. Programming Collective Intelligence - O'Reilly Media. 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 The book introduces lots of algorithms that can be used to gain new insight into any kind of data one might come across.
The explanations are broken up into digestible chunks, and are supported by great visualizations. Each of the algorithms is illustrated with real world application examples, and examples where applying them doesn't make sense are brought too. Nonetheless, it is great to have actual code to play with, just the initial reading and reviewing of it requires some extra effort. Recommender system. 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 user would give to an item.[1][2] Recommender systems have become extremely common in recent years, and are applied in a variety of applications.
The most popular ones are probably movies, music, news, books, research articles, search queries, social tags, and products in general. However, there are also recommender systems for experts, jokes, restaurants, financial services, life insurance, persons (online dating), and twitter followers .[3] Overview[edit] The differences between collaborative and content-based filtering can be demonstrated by comparing two popular music recommender systems - Last.fm and Pandora Radio. Each type of system has its own strengths and weaknesses. Recommender system is an active research area in the data mining and machine learning areas.