Youtor
Overfitting and Underfitting in Machine Learning Understanding Bias and Variance
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=SOI39DEHGSk
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. • ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ • ✔ Complete Neural Network playlist : • Logistic Regression Machine Learning ... • ✔ Complete Logistic Regression Playlist : • Artificial Intelligence Vs Machine Le... • ✔ Complete Linear Regression Playlist : • Artificial Intelligence Vs Machine Le... • ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ • 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 • ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ • This is Your Lane to Machine Learning ⭐ • ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ • Subscribe to my channel, because I upload a new Machine Learning video every week : / @machinelearningwithjay
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