In supervised learning, how do you estimate how computationally expensive is traning and prediction? That is important because depending on that you make different choices in terms of the approach. Estimating Computational Cost in Supervised Learning To make informed choices about model selection, hardware requirements, and scalability, you need to estimate the computational cost for…

In supervised learning, when using regression to predict continuous values, I understand that different approaches should be adopted depending on whether or not an enough quantity of labeled data is available for training the model. The question is: how do you determine if the volume of training data that is at your disposal can be…