And this year's Oscar goes to… BigML machine learning

Last night's Oscar winners were completely in line with the predictions announced on March 1 by BigML, the machine learning company where I am a strategic advisor. And when I say "in line" I really mean that: strike; 100% on the nail, in one category after another. The candidates for each and every one of the six major categories Big ML's algorithm picked as favorites (best film, best director, best actor, best actress, best supporting actor and best secondary actress) all came in. There was 28,125 combinations, which means a 0.00003556 probability of guessing them all by chance. And such algorithm, once correctly fed with data and fine tuned, was able to predict the voting intention of the more than 7,000 members of the Academy.