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Ciencia de Datos: 3 en 1 - GuÃa para principiantes para aprender los reinos de la ciencia de datos + Consejos y trucos para aprender teorÃas + Métodos
Paperback
Publisher Price: $43.99
ISBN13: 9781913842314
Publisher: Joiningthedotstv Limited
Published: Dec 10 2020
Pages: 576
Weight: 1.68
Height: 1.17 Width: 6.00 Depth: 9.00
Language: Spanish
Libro 1
Este libro te presentará el mundo digital. La ciencia de datos es uno de los campos más sorprendentes y de tendencia en la era digital. La ciencia de datos es lo que nos hace humanos como somos hoy. No se limita a las tecnologÃas controladas por computadora, este libro lo guiará para visualizar los hechos digitales y las conexiones de nuestro cerebro con la ciencia de datos, cómo sacar conclusiones de información simple y cómo desarrollar patrones para comprender diferentes soluciones para un problema similar. Pero nuestros cerebros solo pueden llevarnos tan lejos cuando se trata de computación en bruto. Nuestros cerebros no pueden mantenerse al dÃa con la cantidad de datos que podemos capturar y con el grado de nuestra curiosidad. Por lo tanto, recurrimos a máquinas que pueden capturar y almacenar terabytes de información y hacer parte del trabajo por nosotros, como reconocer patrones, crear conexiones y proporcionarnos resultados precisos.
La ciencia de datos es un campo en el que podrá aprender todas las técnicas modernas. Teniendo en cuenta todos estos hechos, pensamos en escribir este libro dirigido al principiante en ciencia de datos.
Libro 2
La creciente tasa de ciencia de datos hoy en dÃa lo ha convertido en un área de referencia para los estudios de computación. Se necesitan cientÃficos de datos en prácticamente todos los campos y carreras. Los cientÃficos de datos hacen efectivas plataformas como Facebook, Twitter e incluso sitios más profesionales como LinkedIn. El servicio de un cientÃfico de datos es necesario en profesiones como organizaciones empresariales y financieras, bancos, centros de atención médica e incluso bufetes de abogados.
Este libro proporciona una explicación detallada de las teorÃas, algoritmos, estadÃsticas y análisis aplicables al dominio de la ciencia de datos. Da una guÃa paso a paso sobre cómo se implementan las diversas teorÃas en ciencia de datos. Explica en detalle la diferencia entre los dos tipos principales de regresiones que tenemos: regresiones lineales y no lineales. La explicación sobre áreas interesantes como la programación R, la subasta, la extracción y el análisis de datos, los algoritmos y muchos más están cubiertos en detalle.
Libro 3
En este libro, aprenderá a organizar, programar, explorar conjuntos de datos, modelar sus datos y cómo comunicar decisiones empresariales y hallazgos mediante técnicas de visualización de datos.
Si bien este libro es una guÃa completa sobre varios métodos y estrategias para aprender ciencia de datos para empresas, no incluye los conocimientos básicos generales de la ciencia de datos. Por lo tanto, las siguientes son algunas de las cosas que debe esperar:
- La omnipresencia de las oportunidades de datos
- El proceso general de las decisiones empresariales y cómo la ciencia de datos es útil durante este proceso
- Diversos enfoques analÃticos para las empresas
- Lenguajes de programación
- Y visualización de datos
2 different editions
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Ciencia de Datos: Métodos y estrategias avanzados para aprender ciencia de datos para empresas
Vance, William
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Ciencia de datos: Consejos y trucos para aprender teorías de ciencia de datos de manera efectiva
Vance, William
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