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Overfitting vs underfitting in machine learning #machinelearning #deeplearning #statistics
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#machinelearning #deeplearning #statistics
Overfitting and underfitting are very common problems in machine learning. You usually have to find a sweet spot between fitting the training data well (that is not underfitting) and being able to generalize to the test data (not overfitting).
Credits:
Overfitting and underfitting are very common problems in machine learning. You usually have to find a sweet spot between fitting the training data well (that is not underfitting) and being able to generalize to the test data (not overfitting).
Credits:
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