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Apara Software - Technology Blog | Predictive Analytics & Agile Product Development | dvelox.wordpress.com Reviews
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Predictive Analytics & Agile Product Development
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Predictive Analytics – The most common errors | Apara Software - Technology Blog
https://dvelox.wordpress.com/2012/03/24/common-errors
Apara Software – Technology Blog. Predictive Analytics and Agile Product Development. Predictive Analytics – Error 1: No proper data available →. Predictive Analytics – The most common errors. March 24, 2012. Data mining techniques to analyze current scenario and past situations, to predict future events. Customers’ behaviour patterns from historical data, using mathematical techniques ( Learning Algorithms. Extracts learning from pure data directly to predict future events to add business value. You are...
April | 2012 | Apara Software - Technology Blog
https://dvelox.wordpress.com/2012/04
Apara Software – Technology Blog. Predictive Analytics and Agile Product Development. Predictive Analytics – Error 2: To trust just one model. April 8, 2012. Every company, ‘predictive analytical’ consultant or researcher usually trusts in a model obtained by a technique or algorithm. It is his / her favorite model or algorithm. Depending on data, a determined algorithm must be performed. In automated learning, ‘the false friends’. In this case, if we use just an algorithm a false business predictor will...
About Apara | Apara Software - Technology Blog
https://dvelox.wordpress.com/about
Apara Software – Technology Blog. Predictive Analytics and Agile Product Development. Is a company with 100% Spanish Investment that was founded in 2002. Apara develops pioneer technology in the area of automation learning process for decision making in order to convert data in accurate predictions. Apara’s software products are applied in complex decision situations as fraud prevention, risk management, customer retention and marketing campaign optimization. And Agile Product Development.
Predictive Analytics – Error 2: To trust just one model | Apara Software - Technology Blog
https://dvelox.wordpress.com/2012/04/08/predictive-analytics-error-2-to-trust-just-one-model
Apara Software – Technology Blog. Predictive Analytics and Agile Product Development. Predictive Analytics – Error 1: No proper data available. Predictive Analytics – Error 2: To trust just one model. April 8, 2012. Every company, ‘predictive analytical’ consultant or researcher usually trusts in a model obtained by a technique or algorithm. It is his / her favorite model or algorithm. Depending on data, a determined algorithm must be performed. In automated learning, ‘the false friends’. In this case, i...
March | 2012 | Apara Software - Technology Blog
https://dvelox.wordpress.com/2012/03
Apara Software – Technology Blog. Predictive Analytics and Agile Product Development. Predictive Analytics – Error 1: No proper data available. March 25, 2012. The raw material of Predictive Analytics is data. Without ‘good’ data, it is impossible to get ‘good’ conclusions. To get good results, input / output data is needed. This means that, we need the answers and the questions and they have to be in the available data. We have to get similar behaviours in different data samples. Can extract different r...
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marzo | 2012 | Apara Software - Blog Tecnológico
https://aparasw.wordpress.com/2012/03
Apara Software – Blog Tecnológico. Analítica Predictiva y Desarrollo Ágil de Productos. Analítica Predictiva – Error 1: No disponer de dato apropiado. Marzo 20, 2012. No disponer de dato apropiado. La materia prima de la analítica predictiva es el dato. Sin dato bueno, no se pueden llegar a conclusiones buenas. Para obtener buenos resultados, hay que tener datos de entrada y de salida. Esto significa, no solamente se debe disponer de las preguntas sino de las respuestas. Permite extraer muestras represen...
Acerca de Apara | Apara Software - Blog Tecnológico
https://aparasw.wordpress.com/about
Apara Software – Blog Tecnológico. Analítica Predictiva y Desarrollo Ágil de Productos. Es una compañía de capital 100% español que nace en 2002. Apara desarrolla tecnología pionera en la automatización inteligente de los procesos de toma de decisiones con el objetivo de transformar los datos en decisiones más certeras. Este blog está dirigido a todos aquellos entusiastas de la minería de datos orientada a la predicción ( predictive analytics. Y al desarrollo ágil de productos. Blog de WordPress.com.
Analítica Predictiva – Errores más comunes | Apara Software - Blog Tecnológico
https://aparasw.wordpress.com/2012/03/19/errores-comunes
Apara Software – Blog Tecnológico. Analítica Predictiva y Desarrollo Ágil de Productos. Analítica Predictiva – Error 1: No disponer de dato apropiado →. Analítica Predictiva – Errores más comunes. Marzo 19, 2012. Técnicas de minería de datos que analizan la situación actual y hechos pasados, para predecir eventos futuros. El ‘data mining’ o minería de datos. Extrae patrones de comportamiento de nuestros clientes a partir de un histórico, usando técnicas matemáticas ( algoritmos de aprendizaje. La analíti...
Analítica Predictiva – Error 2: Confiar sólo en un modelo | Apara Software - Blog Tecnológico
https://aparasw.wordpress.com/2012/04/02/analitica-predictiva-error-2-confiar-solo-en-un-modelo
Apara Software – Blog Tecnológico. Analítica Predictiva y Desarrollo Ágil de Productos. Analítica Predictiva – Error 1: No disponer de dato apropiado. Analítica Predictiva – Error 2: Confiar sólo en un modelo. Abril 2, 2012. Lo normal es que toda empresa, consultor de ‘analítica predictiva’ o investigador, confíe en el modelo obtenido de una sóla técnica o algoritmo. Su modelo o algoritmo favorito. Dependiendo de la naturaleza del dato, hay que utilizar un algoritmo de aprendizaje u otro. Y un único algo...
abril | 2012 | Apara Software - Blog Tecnológico
https://aparasw.wordpress.com/2012/04
Apara Software – Blog Tecnológico. Analítica Predictiva y Desarrollo Ágil de Productos. Analítica Predictiva – Error 2: Confiar sólo en un modelo. Abril 2, 2012. Lo normal es que toda empresa, consultor de ‘analítica predictiva’ o investigador, confíe en el modelo obtenido de una sóla técnica o algoritmo. Su modelo o algoritmo favorito. Dependiendo de la naturaleza del dato, hay que utilizar un algoritmo de aprendizaje u otro. Puede ser que haya una variable intermedia que sea la causa de las dos. Y un ú...
Analítica Predictiva – Error 1: No disponer de dato apropiado | Apara Software - Blog Tecnológico
https://aparasw.wordpress.com/2012/03/20/analitica-predictiva-error-1-no-disponer-de-dato-apropiado
Apara Software – Blog Tecnológico. Analítica Predictiva y Desarrollo Ágil de Productos. Analítica Predictiva – Errores más comunes. Analítica Predictiva – Error 2: Confiar sólo en un modelo →. Analítica Predictiva – Error 1: No disponer de dato apropiado. Marzo 20, 2012. No disponer de dato apropiado. La materia prima de la analítica predictiva es el dato. Sin dato bueno, no se pueden llegar a conclusiones buenas. Ver si en diferentes muestras, aparecen comportamientos similares o son totalmente dispares.
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Apara Software - Technology Blog | Predictive Analytics & Agile Product Development
Apara Software – Technology Blog. Predictive Analytics and Agile Product Development. Predictive Analytics – Error 2: To trust just one model. April 8, 2012. Every company, ‘predictive analytical’ consultant or researcher usually trusts in a model obtained by a technique or algorithm. It is his / her favorite model or algorithm. Depending on data, a determined algorithm must be performed. In automated learning, ‘the false friends’. In this case, if we use just an algorithm a false business predictor will...
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