Monday, 10 February 2020
You don’t normally need to be a fortune teller to predict the Oscar winners, but the Academy has sprung a few surprises in recent years. Last night, a team of data scientists tested whether their machine learning model could outsmart the bookmakers — with mixed results. The boffins behind the BigML machine learning platform made their predictions with a Deepnets model, an optimised implementation of the Deep Neural Networks supervised learning technique. They first identified the factors that were the best predictors of a winner. In the best picture category, for example, these included the film’s synopsis; its nominations for…
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