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Basically you can use computers to classify stuff! That is how your spam filter works. It has a bunch of training data (preclassified spam and not spam emails) and then uses one form of classifier or another (based on the training data) to classify each incoming email as spam or not spam.


Ensemble learning is one of a whole bunch of different machine learning techniques, you can learn more about it here if you're interested


https://en.wikipedia.org/wiki/Ensemble_learning


In this case, it's really just taking the concept of backtesting to the next level, where you also allow the computer to make inferences (classifications ;) ) based on the relationships, patterns, trends etc that it might uncover.


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