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Ciencia de los datos: La guía definitiva sobre análisis de datos, minería de datos, almacenamiento de datos, visualización de datos, Big Dat
Hardcover
Business GeneralApplicationsGeneral Computers
Publisher Price: $29.99
ISBN13: 9781647481445
Publisher: Bravex Pubn
Published: Dec 22 2019
Pages: 210
Weight: 0.99
Height: 0.50 Width: 6.00 Depth: 9.00
Language: Spanish
2 manuscritos completos en 1 libro
- Ciencia de los datos: Lo que saben los mejores científicos de datos sobre el análisis de datos, minería de datos, estadísticas, aprendizaje automático y Big Data - que usted desconoce
- Ciencia de Datos para Empresas: Modelo Predictivo, Minería de Datos, Análisis de Datos, Análisis de Regresión, Consulta de Bases de Datos y Aprendizaje Automático para Principiantes
Los datos recopilados de mediciones científicas, clientes, sensores de IoT (Internet de las cosas), etc., son muy importantes solo cuando uno puede extraer un significado de ellos. Los científicos de datos son profesionales que ayudan a revelar desafíos interesantes y gratificantes de explorar, observar, analizar y a interpretar datos. Para hacerlo, aplican técnicas especiales que les ayudan a descubrir el significado de los datos. Convertirse en el mejor científico de datos es algo más que dominar las herramientas y técnicas analíticas. El verdadero problema radica en la forma de aplicar la capacidad creativa como expertos científicos de datos. Este libro le ayudará a descubrirlo y llevarlo hasta allí.
El objetivo de Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't (Ciencia de datos: lo que saben los mejores científicos de datos sobre el análisis de datos, minería de datos, estadísticas, aprendizaje automático y Big Data - que usted desconoce) es ayudarle a expandir sus habilidades de ser un científico de datos básico a convertirse en un científico de datos experto listo para resolver problemas centrados en datos del mundo real. Al final de este libro, aprenderá cómo combinar Aprendizaje automático, Minería de datos, análisis y programación, y extraer conocimiento real de los datos. A medida que lo lea, descubrirá importantes técnicas estadísticas y algoritmos que son útiles para aprender la Ciencia de los Datos. Cuando haya terminado, tendrá una base sólida que lo ayudará a explorar muchos otros campos relacionados con la ciencia de datos.
La primera parte de este libro incluye:
- Lo que la ciencia de datos es
- Lo que se necesita para convertirse en un experto en Ciencias de Datos
- Las mejores técnicas de minería de datos para aplicar en datos
- Visualización de datos
- Regresión logística
- Ingeniería de datos
- Aprendizaje automático
- Analítica de Big Data
- Y mucho más!
Al leer la segunda parte de este libro, usted:
- Qué es la Ciencia de Datos?
- Cómo funcionan los Grandes volúmenes de datos y por qué es tan importante
- Cómo hacer un análisis exploratorio de datos
- Trabajar con minería de datos
- Cómo extraer texto para obtener los datos.
- Algunos algoritmos asombrosos de aprendizaje automático para ayudar con la Ciencia de Datos
- Cómo hacer modelado de datos
- Visualización de datos
- Cómo utilizar la Ciencia de Datos para ayudar a que su negocio crezca
- Consejos para ayudarle a comenzar con la Ciencia de Datos
- Y mucho, mucho más!
Obtenga este libro ahora para conocer más sobre la Ciencia de los datos y Ciencia de Datos para empresas!
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