Learn how to build intelligent data applications with Amazon Web Services (AWS) : understanding and using AWS products and services, AWS Data Pipeline, Kinesis Analytics, RDS and Redshift databases, and Amazon Machine Learning /

"This course shows you how to use a range of AWS services to create intelligent end-to-end applications that incorporate ingestion, storage, preprocessing, machine learning (ML), and connectivity to an application client or server. The course is designed for data scientists looking for clear in...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Hearty, John (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly, [2017]
Temas:
Amazon Web Services (Firm)
Cloud computing.
Web services.
Machine learning.
Infonuagique.
Services Web.
Apprentissage automatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"This course shows you how to use a range of AWS services to create intelligent end-to-end applications that incorporate ingestion, storage, preprocessing, machine learning (ML), and connectivity to an application client or server. The course is designed for data scientists looking for clear instruction on how to deploy locally developed ML applications to the AWS platform, and for developers who want to add machine learning capabilities to their applications using AWS services. Prerequisites include: Basic awareness of Amazon Simple Storage Service (S3), Elastic Compute Cloud (EC2), and Amazon Elastic MapReduce; as well as some knowledge of ML concepts like classification and regression analysis, model types, training and performance measures; and a general understanding of Python."--Resource description page
Notas:Title from title screen (viewed August 10, 2017).
Date of publication from resource description page.
Descripción Física:1 online resource (1 streaming video file (3 hr., 23 min., 42 sec.))

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