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by Herbert Jones (Author)
Sab a usted que el valor del uso de datos ha aumentado las oportunidades de empleo, pero que actualmente hay pocos especialistas?
En estos d as, todos son conscientes del papel que pueden desempe ar los datos, ya sea en una elecci n, en un negocio o en la educaci n. Pero, c mo puede empezar a trabajar en este amplio campo interdisciplinario ocupado con tanta propaganda?
Este libro, "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 cient ficos de datos sobre el an lisis de datos, miner a de datos, estad sticas, aprendizaje autom tico y big data - que usted desconoce), le presenta un enfoque paso a paso de la ciencia de datos, as como los secretos solo conocidos por los mejores cient ficos de datos. Combina la ingenier a anal tica, aprendizaje autom tico, Big Data, miner a de datos y estad sticas en un m todo f cil de leer y digerir.
Los datos recopilados de mediciones cient ficas, clientes, sensores de IoT (Internet de las cosas), etc., son muy importantes solo cuando uno puede extraer un significado de ellos. Los cient ficos de datos son profesionales que ayudan a revelar desaf os interesantes y gratificantes de explorar, observar, analizar y a interpretar datos. Para hacerlo, aplican t cnicas especiales que les ayudan a descubrir el significado de los datos. Convertirse en el mejor cient fico de datos es algo m s que dominar las herramientas y t cnicas anal ticas. El verdadero problema radica en la forma de aplicar la capacidad creativa como expertos cient ficos de datos. Este libro le ayudar a descubrirlo y llevarlo hasta all .
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 cient ficos de datos sobre el an lisis de datos, miner a de datos, estad sticas, aprendizaje autom tico y Big Data - que usted desconoce) es ayudarle a expandir sus habilidades de ser un cient fico de datos b sico a convertirse en un cient fico de datos experto listo para resolver problemas centrados en datos del mundo real. Al final de este libro, aprender c mo combinar Aprendizaje autom tico, Miner a de datos, an lisis y programaci n, y extraer conocimiento real de los datos. A medida que lo lea, descubrir importantes t cnicas estad sticas y algoritmos que son tiles para aprender la Ciencia de los Datos. Cuando haya terminado, tendr una base s lida que lo ayudar a explorar muchos otros campos relacionados con la ciencia de datos.
Este libro tratar sobre los siguientes temas:
- Lo que la ciencia de datos es
- Lo que se necesita para convertirse en un experto en Ciencias de Datos
- Las mejores t cnicas de miner a de datos para aplicar en datos
- Visualizaci n de datos
- Regresi n log stica
- Ingenier a de datos
- Aprendizaje autom tico
- Anal tica de Big Data
- Y mucho m s
Obtenga este libro ahora para aprender m s sobre la ciencia de datos
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