Regularization: Make your Machine Learning Algorithms “Learn”, not “Memorize”

Within the production pipeline, we want our machine learning applications to perform well on unseen data. It doesn’t really matter how well an ML application performs on training data if it cannot deliver accurate results on test data. To achieve this purpose, we use regularization techniques to moderate learning so that a model can learn instead of memorizing training data.

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Anand Borad

Anand Borad works as senior marketing executive and takes care of digital and content marketing efforts for Medical devices, Connected Retail & Healthcare and New product development initiatives. He enjoys learning newer technologies and adopting it into everyday marketing practices.

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