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Applying Machine Learning to Value Investing with Euclidean’s John Alberg

Excess Returns

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Using Value in a Machine Learning Processor

The goal of machine learning is to learn to map input to output. It's by presenting an algorithm with lots of examples of, you know, French sentences and the English equivalent. The idea is that by minimizing that error, the model eventually learns to map A to B. So getting back to like, how did that take us to being effectively a value investor? What I was essentially just trying to replicate that, but not through experience, but substituting that experience with basically all the data that is ever available about companies.

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