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What is the difference between a stats problem and an ML problem?
(Jim talked about people mentioning ML when they were really asking OR or Stats questions; maybe an example will help to think between them)
can I think of a statistical problem is one which leverages more traditional regression style models rather than deep neural networks, but still in both cases you are caring about prediction accuracy but not about what the model parameters and model robustness?
(we can take this later too)
when you are looking for "qualified hires," what are the qualification you are looking for? what do people tend to lack?
Will answer both of these shortly.
Thank you for the answer!
what are the companies that are mature enough to allow for research papers
what is a SKU?
A specific product
Great example to illustrate the unintended effects and their measruements
Could you comment on Transfer Learning (say GPT-3) on explainability?