
Episode 1: Gleaning Insight from Antitrust Cases Using Machine Learning (Massarotto & Ittoo)
Stanford Computational Antitrust
00:00
The Importance of Combining Data From the FTC and the DOJ in AI Applications
There is no best in fact no best optimal method they are all good for specific task right if you want to predict the outcome of a case then undoubtedly you would have to use supervised learning because they are concerned with prediction or classification. The next step would be to try to see how accurate can we get if we try to predict the outcomes of those antitrust cases but that would be for it for the next interview hopefully of course yesHopefully so I mean now I think it's time for us to really discuss the core of the article and and for that at some point in the paper you do say that you didn't find any relevant patterns when you trained or at least tried to fill the algorithm with data
Transcript
Play full episode