> Andrew NG was pointing at the use of wrong/bad data, and not the models or approach per se...
Except that Deep Learning is equal parts data & model. And he wasn't saying that the data was bad, he was saying that it turns out that the data collected turned out to be so context-dependent that it wasn't usable with even a small change in that context. That's not "bad data", that's "the real world".
Except that Deep Learning is equal parts data & model. And he wasn't saying that the data was bad, he was saying that it turns out that the data collected turned out to be so context-dependent that it wasn't usable with even a small change in that context. That's not "bad data", that's "the real world".