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MinerÃa de Datos: GuÃa de MinerÃa de Datos para Principiantes, que Incluye Aplicaciones para Negocios, Técnicas de MinerÃa de Datos, Conceptos y Más
Hardcover
Business GeneralGeneral Computers
Publisher Price: $29.99
ISBN13: 9781950924622
Publisher: Ch Publications
Published: Nov 26 2019
Pages: 110
Weight: 0.70
Height: 0.31 Width: 6.00 Depth: 9.00
Language: Spanish
Le gustarÃa aprender sobre minerÃa de datos pero no desea escuchar un libro aburrido?
El presente audiolibro de minerÃa de datos podrÃa ser la respuesta que está buscando...
Alguna vez se ha preguntado cómo las empresas pueden proporcionarle datos personalizados que se adapten a sus necesidades o cómo Facebook muestra las noticias e historias relacionadas con su historial de búsqueda? En este caso, la minerÃa de datos es la respuesta a estas dos preguntas.
MinerÃa de Datos: GuÃa de MinerÃa de Datos para Principiantes, que Incluye Aplicaciones para Negocios, Técnicas de MinerÃa de Datos, Conceptos y Más, le ayudará a comprender los conceptos básicos de la minerÃa de datos, asà como sus aplicaciones. Se basa principalmente en los métodos de extracción requeridos en el procesamiento, asà como en la toma de decisiones.
No hay duda de que la minerÃa de datos ha continuado creciendo y creando valor en muchas empresas. La capacidad de identificar conocimientos y patrones ocultos en los números y textos generados diariamente brinda a los analistas un espacio para comprender el comportamiento de los usuarios. A través del desarrollo de modelos para identificar patrones y descubrir nueva inteligencia, ahora es posible cambiar el paradigma empresarial.
Esta guÃa para principiantes le ayudará a comprender las diferentes técnicas que puede aplicar en la minerÃa de datos. Asà mismo, le ayudará a desarrollar la base adecuada y habilidades importantes para dominar la minerÃa de datos.
En la presente guÃa usted aprenderá lo siguiente:
- Creación de modelos
- Cómo preparar sus datos
- Cómo depurar sus datos
- MinerÃa de datos
- Similitudes y distancias de datos
- Efecto de la distribución de datos
- Asociación de minerÃa de patrones
- Qué es el análisis de agrupamiento
- Qué es un valor atÃpico en la minerÃa de datos
- Cómo lidiar con los valores atÃpicos en la minerÃa de datos
- Métodos de identificación de valores atÃpicos en datos
- Aplicaciones de minerÃa de datos en el sector empresarial
Obtenga ahora este libro para obtener más información sobre la minerÃa de datos!
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