I am completely new to all this, for the life of me I can't find the answer to this question anywhere on Google.
What happens after you have used machine learning to train your model? What happens to the training data?
Let's pretend it predicted correct 99.99999% of the time and you were happy with it and wanted to share it with the world. If you put in 10GB of training data is the file you share with the world 10GB? If it was all trained on AWS can people only use your service if they connect to AWS through an API?
What happens to all the old training data? Does the model still need all of it to make new predictions?