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What is machine learning algorithm???
3 Answers
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Basically, those are matrix transformations done on large datasets by mathematical/statistical models designed to find with the most probability what are the relations between certain sets of features and the ultimate result - a label, a value, an output, etc.
The model is 'taught' on a training set and it 'fits' itself to the data so that the pattern it calculates defines or explains the largest possible amount of the data that is possible.
The idea is that when ran on a test dataset, the model will have the same or adequate efficiency. It will thus be able to 'predict' the result based on new, earlier unseen data.
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