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by Herbert Jones (Author)
2 manuscritos completos en 1 libro
- Anal tica de datos: Una gu a esencial para principiantes en miner a de datos, recolecci n de datos, an lisis de big data para negocios y conceptos de inteligencia empresarial (Data Analytics)
- Miner a de Datos: Gu a de Miner a de Datos para Principiantes, que Incluye Aplicaciones para Negocios, T cnicas de Miner a de Datos, Conceptos y M s
Este libro de anal tica de datos podr a ser la respuesta que est buscando...
Este libro contiene una amplia y valiosa cantidad de informaci n sobre la anal tica de datos que le ayudar a comprender el concepto de data mining o miner a de datos, recolecci n de datos, anal ticas de big data para negocios y conceptos de inteligencia empresarial.
Con este libro, no solo comprender todo lo esencial relacionado con la anal tica de datos, sino que tambi n comprender por qu la anal tica de datos est cambiando el mbito empresarial. Se dar cuenta de que la anal tica de alto rendimiento le permitir hacer cosas que nunca antes hab a pensado, probablemente, y entre otras razones, porque los vol menes de datos eran demasiado grandes, y mucho m s.
Comenzaremos por examinar qu significa realmente la anal tica de datos y qu implica. No se preocupe cuando se encuentre con t rminos desconocidos mientras lee, ya que este libro incluye explicaciones detalladas de palabras que quiz s no entienda.
La primera parte de este libro incluye:
- Descripci n general de la anal tica de datos: Qu es la anal tica de datos (y el an lisis de big data)?
- Anal tica de datos e inteligencia empresarial
- Anal tica de datos y an lisis de datos
- Miner a de datos
- Recolecci n de datos
- Tipos de anal tica de datos
- El proceso: el ciclo de vida de la anal tica de big data
- Anal ticas de comportamiento: utilizaci n de anal ticas de big data para encontrar patrones ocultos de comportamiento en los clientes
- Descubrimiento de m s patrones en anal ticas avanzadas: aprendizaje automatizado (machine learning)
- Y mucho, mucho m s
Al leer la segunda parte de este libro, usted:
- Creaci n de modelos
- C mo preparar sus datos
- C mo depurar sus datos
- Miner a de datos
- Similitudes y distancias de datos
- Efecto de la distribuci n de datos
- Asociaci n de miner a de patrones
- Qu es el an lisis de agrupamiento
- Qu es un valor at pico en la miner a de datos
- C mo lidiar con los valores at picos en la miner a de datos
- M todos de identificaci n de valores at picos en datos
- Aplicaciones de miner a de datos en el sector empresarial
Obtenga este libro ahora para conocer m s sobre Anal tica de datos y Miner a de Datos
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