The part that I found most interesting about the interview with David Laibson was the breadth of the capacity of machine learning. I think it's very interesting how machine learning could potentially be used to predict the stock market later. The stock market itself is based on predictions and tons of data about people's economic behavior, but Prof. Laibson said that it is also largely random as well. I wonder if ML will ever actually be able to predict stocks extremely accurately? The economy is so variable, but it doesn't feel like it's just completely random—so perhaps, one day in the future, there would be a possibility that things could actually be predicted if almost every single variable was accounted for.
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