Teaching Machines with Few Examples

When product managers and domain experts approach me about an idea they have that might benefit from AI, I often get asked how many examples will we need to train a Machine Learning (ML) model and test out if it can solve the problem. The answer has always been along the lines of — “It depends, but you typically need a few hundred examples”. With the latest advances in ML, however, that answer has started favoring the side of needing …

data science deep learning image-classification machine learning machines teaching text classification