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17. Ernest Chan

Mutiny Investing Podcast

CHAPTER

Metal Labeling Is a Good Example of Machine Learning

It can be different paths at different times given different markets is that correct well yes I mean typically we we train the machine learning model regularly just to take a new data and every time you take a newData or we train the model with a different random seat when you know initial random configuration you get completely different set of models. So one you know test of the robustness of your machine learning strategy is that to see if the performance will very drastically when you take in new data and retrain the model hopefully it doesn't.

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