Predicting the 2018 Oscar Winners with Machine Learning - Poul Petersen (BigML)
Is it possible to predict the Oscars? BigML’s Deepnets predicted 6 out of 6 Oscar categories right: best picture, best director, best actress, best actor, best supporting actress, and best supporting actor. But how is it possible to predict a seemingly random event? In this talk, M.Sc. Poul Petersen, Chief Infrastructure Officer at BigML will show how to approach a problem like predicting the Oscars, how to chose the data that is relevant, how to prepare the data, and how BigML's Deepnets work behind the scenes to give the best possible model for your machine learning problem.
Poul Petersen is the Chief Infrastructure Officer at BigML. He has an MS degree in Mathematics as well as BS degrees in Mathematics, Physics and Engineering Physics. With 20 plus years of experience building scalable and fault tolerant systems in data centers, Poul currently enjoys the benefits of programmatic infrastructure, hacking in python to run https://bigml.com with only a laptop and a cloud.