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Behind the Markets Podcast: Alejandro Lopez-Lira

Behind the Markets Podcast

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How to Use Machine Learning to Pick Stocks

Machine learning works better if you have more data, right? That means that it works better at much shorter horizons just because you have so many more observations. Whereas if you're trying to predict the aggregate market like 30 years from now, we have very few observations of 30 year spirits on the market. If you do not have a lot of data points, then it's usually not advisable to use machine learning and what you want is some more structure approach, right?

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