Bayesian Deep Learning and Flight Delay Prediction - Sam Zimmerman скачать в хорошем качестве

Bayesian Deep Learning and Flight Delay Prediction - Sam Zimmerman

Which of the over 30 million commercial flights in the US will get actually delayed or cancelled? Freebird has built a business based on using data science to answer that question. 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. -- 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. Sam is a Duke grad, and works on a grant with MIT’s Computational Cognitive Science lab to extend decision theory using machine learning and artificial intelligence. Acesse o conteúdo completo em: http://bit.ly/2XpOu2s