The Essential Guide to Training Data

When starting out with a new machine learning project, it's common to ask how much training data you'll need to ensure high performance from your algorithm. The question itself is simple. The blunt truth is that there's no magic number of data points that will turn your model from good to great. The reason for this is that the number of data points you'll need for your project is affected by a wide range of factors, all of which can influence the eventual size of your dataset to a greater or lesser degree. Due to the nature of machine learning, it's unlikely that you'll ever know all of these factors.