BT

Disseminando conhecimento e inovação em desenvolvimento de software corporativo.

Contribuir

Tópicos

Escolha a região

Início Apresentações Practical Machine Learning Models to prevent Revenue Loss

Practical Machine Learning Models to prevent Revenue Loss

Favoritos
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.

Gravado em:

28 ago 2017

BT