Início Apresentações Bayesian Deep Learning and Flight Delay Prediction
Bayesian Deep Learning and Flight Delay Prediction
32:01
Resumo
Learn how co-founder and CTO Sam Zimmerman and his team have approached this problem by building a real-time predictive analytics engine based on dynamic data sets and deep-learning algorithms. This talk focuses on experiments the Freebird team has done to model the both point-wise and aggregative flight delay risk using various deep learning approaches and feature representation techniques.
Minibiografia
Sam is software developer and data scientist with extensive experience in the commercial application of machine-learning algorithms. Prior to Freebird, Sam worked as a quantitative risk analyst in the currency markets and as a team lead automating a large-scale data classification problem for an energy intelligence company.
Sobre o Evento
A segunda edição do PAPIs.io aconteceu em São Paulo nos dias 19, 20 e 21 de Junho de 2018. O evento tem o intuito de apresentar casos reais de utilização de Machine Learning, e contou com mais de 20 palestras, em inglês, apresentando cases e ferramentas de empresas nacionais e internacionais.
28 mar 2019