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A machine learning model is a file that has been trained to recognize certain types of patterns.

A model is built from a set of data using an algorithm that the model can use that allows it to reason and learn from that data.

Once the model is trained, it can be used to reason about data that the model has never seen before and thus make predictions about that data.

An adaptive machine learning model is built from a set of small data.

elodees develops decision-making solutions using small data and which can be used by general artificial intelligence.