Using Machine Learning to Identify Intangible Acets Matters

The way we apply machine learning is kind of different. It goes back to the point that i made earlier, that we start with fundamental intuition and then use machine learning as a tool to interrogate our fundamental hypothesis. So in this way, our process is much more similar to that used by a fundamental investor, where we have fundamental hypotheses and we use data to answer it. But the trate off is that it instead relies on the researcher having the right instinct. This is why we are so focused on establishing the first principles rational for why intangible acets matter, and communicating it in as transparent a way as possible.