Tons of companies have and are hireing people for little more than beeing able o download install and run the pytorch examples, and who have possibly managed to

Tons of companies have and are hireing people for little more than beeing able o download install and run the pytorch examples, and who have possibly managed to retrain an existing network architecture for a similar task on a similar dataset. They are absolutely the script kiddie equivalent of a data scientist. A simple trick question to see if you are one: Given a dataset with significant sample imbalance, how should the optimization be adjusted to account for this?