K-fold cross-validation: In machine learning, we couldn’t fit the model on the training data and can’t say that the model will work...

What is Regularization in Machine Learning and AI? Regularization - Regularization in machine learning is a process of introducing...

Overfitting/underfitting We can see that linear function is not sufficient to fit the training samples. This is called underfitting. A...

The bias-variance tradeoff In machine learning,bias-variance tradeoff is the problem of simultaneously minimizing two sources of error...