What is overfitting and underfitting in machine learning? What is Bias and Variance?

Overfitting and Underfitting are two common problems in machine learning and Deep learning.

If a model has low training and the test accuracy, we suffer a problem of underfitting and it is called high bias and variance.

If a model has high train accuracy, but low test accuracy, we suffer a problem of overfitting and it is called low bias and high variance.



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Timestamps :
0:00 The Problem
0:50 Overfitting and Underfitting
2:32 Bias and Variance in Deep Learning
3:18 How to solve Underfitting in Machine Learning
4:59 How to solve Overfitting in Machine Learning
6:15 Regularization in Machine Learning



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