Início Apresentações Practical Machine Learning Models to prevent Revenue Loss
Practical Machine Learning Models to prevent Revenue Loss
32:04
Resumo
We offer a demonstration of machine learning (ML) to create an intelligent application based on distributed system data. We'll show ML techniques in the development of a data analysis application to monitor distributed platforms with direct impact on company revenue, and we will provide a source code of a practical demonstration on how to train ML models and perform predictions with Apache Spark.
Minibiografia
Eiti is an IT coordinator and architect of distributed and high-performance platforms at Movile Brazil. He has over 15 years of experience working with software development. Flavio Clesio is a specialist in machine learning and revenue assurance at Movile, where he helps to develop core intelligent applications to exploit revenue opportunities and automation in decision making.
Sobre o Evento
Nos dias 21 e 22 de Junho de 2017, São Paulo recebeu a primeira edição do PAPIs.io Connect no Brasil. Com o intuito de apresentar casos reais de utilização de Machine Learning, o PAPIs contou com mais de 20 palestras apresentando cases e ferramentas de empresas nacionais e internacionais.
28 ago 2017