Machine Learning, Linear Regression, Data Science, Artificial Intelligence.
number of trainable parameters d increases, it is said that the model becomes increasingly complex. As d approaches the number of training samples n, the variance of the model increases, but the bias decreases [2]. A model too complex, with many parameters and small data, will have a small bias but