Why regularization is necessary in machine learning?

09 September 2017 1 4K Report

What's reason behind regularization in machine learning?

Regularization is the one of the central ideas on the Machine Learning. Without it we often can get overfitting. Consider, please, using of Least Squares method to perform regression for 10 points. Using polynom of degree 10 we can support error = 0, but for new point error will be large. Regularization avoids this situation.

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What Characteristics makes CNN work better?

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