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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

1 vote

why use convolutions to image processing tasks

Convolution has proven to be useful in image processing for at least 40 years. That is why it is popular and also the reason to use convolutional layers in deep learning with images during the last 5 …
mathreadler's user avatar
4 votes

Why use regularisation in polynomial regression instead of lowering the degree?

For polynomials even small changes in coefficients can make a difference for the higher exponents. $L_2$ regularization ( least squares ) usually encourages many small coefficients but none exactly 0 …
mathreadler's user avatar