👉 In machine learning, an "intramachine" refers to a situation where the model or algorithm is trained on data that was generated in another machine. This can happen when training a model on data from a different computer or device than the one it is being trained on, and then using this data for training purposes. For example, if you are building a model for a recommendation system, and you have a dataset of user preferences stored in an external database, you could train your model on this external
