I work with an extremely effective machine learning engineer, and the biggest thing I've learned is how far you can get with vibes, even in a more traditional ML situation.
He invests most of his time visualizing the inputs and outputs of his systems very carefully, instead of focusing super heavily on metrics; this is a lot more effective than I thought it would be, particularly in the early stages of a project.
He invests most of his time visualizing the inputs and outputs of his systems very carefully, instead of focusing super heavily on metrics; this is a lot more effective than I thought it would be, particularly in the early stages of a project.