Overfitting and Underfitting in Machine Learning | Understanding Bias and Variance
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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