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Amazon AWS Machine Learning. Curso de AWS machine learning | Discount Coupon for Udemy Course
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Amazon AWS Machine Learning. Curso de AWS machine learning | Discount Coupon for Udemy Course

9,99 US$ 84,99 US$88% off
Price expires 1 year ago

Machine learning en AWS. Aprende los servicios en AWS para machine learning como SageMaker, Kinesis, Glue y QuickSight | Discount Coupon for Udemy Course

3.72
(33 ratings)
3322 students
Created by:
Redait Media
Última actualización: 1/2023Course Language EspañolCourse Caption Español [automático]Course Length 03:38:36 to be exact 13116 seconds!Number of Lectures 84
This course includes:
  • 3,5 horas hours of on-demand video
  • 1 article
  • Full lifetime access
  • Acceso en dispositivos móviles y TV
  • Certificate of completion
  • 7 additional resources

DescripciónEste curso es una Introducción al mundo del machine learning sobre la plataforma cloud de Amazon AWSLos temas principales del curso son:1.- Ciclo de vida de un proyecto de Machine LearningConceptos básicos2.- Colección de datosConceptos básicosTipos de datosAlmacenes de datosDatos etiquetados y no etiquetadosVariables continuas y categóricasTipos de conjuntos de datosHerramientas de migración de datosHerramientas EMR y AthenaKinesis Data StreamsKinesis Video StreamsKinesis Data AnalyticsGlueEjercicio con Kinesis FirehoseEjercicio con Kinesis Data AnalyticsEjercicio con Glue3.- Limpieza de datosConceptos básicosCodificación de datosTransformación de textosTransformación de imágenesFormatos de conjuntos de datosManejar valores nulosSelección de característicasHerramientasEjercicio con Glue y AthenaEjercicio con QuickSight4.- Preparación de los datosConceptos básicosEjercicio con SageMaker5.- Modelo de entrenamientoConceptos básicosEjercicio con SageMaker y Notebooks6.- AlgoritmosConceptos básicosAlgoritmo de regresiónAlgoritmo de agrupamientoAlgoritmo de clasificaciónDetección de anomalíasAnálisis de textosAprendizaje por refuerzoAprendizaje conjuntoEjercicio de Regresión Lineal para la predicción de precios de casas en función de sus características7.- Evaluación del modeloConceptos básicosEjercicio con SageMaker y “Titanic” para realizar predicciones8.- Despliegue y monitorizaciónConceptos básicosEste curso tiene laboratorios o ejercicios prácticos sobre estas herramientas en Amazon AWSSageMaker, QuickSight, Glue, Kinesis, Athena y Notebooks. Para realizar las prácticas puedes crearte de forma sencilla una cuenta gratuita en la plataforma cloud de Amazon AWS.Todas las lecciones son videos cortos y fáciles de entender.No es necesario tener conocimiento previos.Además este curso tiene una garantía de reembolso de 30 días.Así que no pierdes nada, apúntate y empieza a aprender sobre el mundo del machine learning !!Nos vemos en el curso¿Para quién es este curso?Personas interesadas en empezar a aprender sobre el mundo del machine learning o aprendizaje automáticoVer másVer menos

Course Content:

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

1 Lectures | 02:16
1 Lectures | 00:44
27 Lectures | 01:11:00
27 Lectures | 53:55
5 Lectures | 12:43
5 Lectures | 20:30
10 Lectures | 24:08
5 Lectures | 25:00
1 Lectures | 06:55
2 Lectures | 01:24
3.72
(33 course ratings)
1
1/33
2
1/33
3
6/33
4
9/33
5
16/33

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