Glad to see the term ML being used more often than AI in the comments as it looks like most "AI" models are trained for image classification.
Having said that, the idea of "doing more with less" sounds interesting and I wonder what it means exactly. Does it mean taking a dataset of 50 images and to create 1000s of synthetic images from it?
Yeah I was very interested about that point in particular. I think synthetic data is one of the ideas, but I got the sense that he also means helping to identify what makes a data set good, even if small. It looks like Andrew Ng is developing a platform for automatically detecting whether a dataset is suitable and, if not, what are the steps to improve it. A sort of automated ML consultant, allowing you to sell capabilities much cheaper than if you needed to consult an actual expert.
