Posted On: Feb 22, 2018
Regularization is a technique used to solve the overfitting or underfitting issues in any statistical model. It is basically used to reduce fitting error in the dataset. A new piece of information is fit in the data set to minimize or reduce fitting issues.
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Basically, machine learning is pattern recognition. Like Youtube’s video recommendations, Facebook’s News Feeds, etc...
Observe and learn from the set of instances and then draw conclusion..