> In part because ML fails silently by design. That's why there's so much iteration and feedback gathering (e.g. A/B tests) as a part of DS/ML, which incidenta

> In part because ML fails silently by design. 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.