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Machine Learning con Knime para no programadores y Gerentes  | Discount Coupon for Udemy Course
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Machine Learning con Knime para no programadores y Gerentes | Discount Coupon for Udemy Course

9,99 US$ 34,99 US$71% off
Price expires 1 year ago

Aprende Inteligencia artificial para tomadores de decisiones con herramientas gráficas configurables sin programación | Discount Coupon for Udemy Course

4.62
(82 ratings)
1957 students
Created by:
Última actualización: 12/2022Course Language EspañolCourse Caption Español [automático]Course Length 07:40:14 to be exact 27614 seconds!Number of Lectures 50
This course includes:
  • 7,5 horas hours of on-demand video
  • Full lifetime access
  • Acceso en dispositivos móviles y TV
  • Certificate of completion
  • 12 additional resources

DescripciónEn los últimos años, el machine learning se ha convertido en una herramienta fundamental para la toma de decisiones en el mundo corporativo, así como también ampliamente utilizado en diferentes áreas, que abarcan desde los negocios hasta la más pura ciencia, permitiendo que la computadora realice las tareas más difíciles encontrando patrones y correlaciones entre variables que permitan mediante la estadística inferencial el hacer predicciones basadas en datos, lo cual permite crear ventajas competitivas en diversos campos, aprovechando los insumos de información histórica de la empresa o negocio para encontrar patrones y correlaciones que nos permitan identificar posibles resultados futuros. bajo el paradigma del aprendizaje supervisado aplicaremos el concepto de regresión lineal para proyectar mediante la ecuación de la recta, los posibles valores resultados con relación a variables predictoras y a variables dependientes, en el cual el Machine Learning sea capaz de identificar los pesos de importancia para cada una de las variables participantes, su relación con la variable de interés a predecir e incluso determinar si alguna variable del sistema puede ser descartada, con el fin de crear un modelo con un alto nivel de confiabilidad estadística que contribuya en el proceso de toma de decisiones gerencial, finalmente uno de los objetivos del curso es entender también la importancia de la visualización de datos para lograr una mayor comprensión sobre los resultados del modelo y así identificar que tal lejos o cerca de los resultados reales seleccionados para evaluar el modelo nos encontramos¿Para quién es este curso?Tomadores de decisiones, analistas de datos, estudiantes de ciencia de datos, interesados en machine learning, deep learning y Data Science en generalVer másVer menos

Course Content:

Sections are minimized for better readability, click the section title to view the course content

1 Lectures | 02:35
2 Lectures | 23:06
1 Lectures | 03:12
1 Lectures | 04:08
1 Lectures | 09:11
1 Lectures | 12:47
1 Lectures | 09:43
1 Lectures | 13:27
1 Lectures | 12:19
1 Lectures | 09:59
1 Lectures | 06:51
1 Lectures | 08:18
1 Lectures | 04:44
1 Lectures | 11:26
1 Lectures | 12:16
1 Lectures | 04:55
1 Lectures | 10:54
1 Lectures | 13:28
1 Lectures | 13:50
1 Lectures | 05:58
1 Lectures | 21:41
1 Lectures | 06:13
1 Lectures | 05:23
2 Lectures | 18:37
1 Lectures | 07:02
1 Lectures | 11:32
1 Lectures | 07:25
1 Lectures | 07:53
1 Lectures | 15:26
1 Lectures | 12:24
2 Lectures | 17:29
1 Lectures | 24:39
1 Lectures | 09:09
1 Lectures | 02:28
1 Lectures | 11:28
1 Lectures | 04:56
1 Lectures | 08:08
1 Lectures | 07:26
1 Lectures | 04:42
1 Lectures | 05:44
1 Lectures | 19:45
1 Lectures | 06:37
1 Lectures | 05:59
1 Lectures | 05:10
3 Lectures | 19:51
4.62
(82 course ratings)
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