That's why there's so much iteration and feedback gathering (e.g. A/B tests) as a part of DS/ML, which incidentally is rarely a part of the interview loop.
Anyone who claims they can get a good model the first time they train it is dangerously optimistic. Even the "how it works" aspect has become more and more marginal due to black boxing.
That's why there's so much iteration and feedback gathering (e.g. A/B tests) as a part of DS/ML, which incidentally is rarely a part of the interview loop.
Anyone who claims they can get a good model the first time they train it is dangerously optimistic. Even the "how it works" aspect has become more and more marginal due to black boxing.