This misunderstanding is what needs to go the way of the dinosaur. You don't need a PhD to know how to clean data, prepare features, or generate synthetic featu

This misunderstanding is what needs to go the way of the dinosaur. You don't need a PhD to know how to clean data, prepare features, or generate synthetic features. You don't need a PhD to tune hyperparameters. You don't need a PhD to know how to separate your test data from your training data. You don't even need a PhD to wire things together at a high level with something like tensorflow. Obviously you will want a theoretical expert on your team. But if your startup is counting on having a room full of them, good luck.