Indicadores de desastres naturais no Estado de São Paulo. Maria José Brollo
BROLLO, M.J. & FERREIRA, C.J. 2009. Indicadores de desastres naturais no Estado de São Paulo. In: Simpósio de Geologia do Sudeste, XI, Águas de São Pedro, SP, 14 a 17/10/2009, Sociedade Brasileira de Geologia. Anais..., p. 125.
AWS April Webinar Series - Introduction to Amazon Machine LearningAmazon Web Services
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning’s powerful algorithms create machine learning (ML) models by finding patterns in your existing data. Then, the service uses these models to process new data and generate predictions for your application. Amazon Machine Learning can ingest data from Amazon S3, Amazon Redshift or Amazon RDS. In this webinar, we will demonstrate how Amazon Machine Learning can be used to build an ML model, deploy it to production, and query this model from within a smart application.
Learning Objectives:
• Understanding machine learning technology
• Building machine learning models with Amazon Machine Learning
• Deploying and querying models
• Tips for getting started with Amazon Machine Learning
Who Should Attend: • Developers, Devops Engineers, IT Operations Professionals
Indicadores de desastres naturais no Estado de São Paulo. Maria José Brollo
BROLLO, M.J. & FERREIRA, C.J. 2009. Indicadores de desastres naturais no Estado de São Paulo. In: Simpósio de Geologia do Sudeste, XI, Águas de São Pedro, SP, 14 a 17/10/2009, Sociedade Brasileira de Geologia. Anais..., p. 125.
AWS April Webinar Series - Introduction to Amazon Machine LearningAmazon Web Services
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning’s powerful algorithms create machine learning (ML) models by finding patterns in your existing data. Then, the service uses these models to process new data and generate predictions for your application. Amazon Machine Learning can ingest data from Amazon S3, Amazon Redshift or Amazon RDS. In this webinar, we will demonstrate how Amazon Machine Learning can be used to build an ML model, deploy it to production, and query this model from within a smart application.
Learning Objectives:
• Understanding machine learning technology
• Building machine learning models with Amazon Machine Learning
• Deploying and querying models
• Tips for getting started with Amazon Machine Learning
Who Should Attend: • Developers, Devops Engineers, IT Operations Professionals