[fromthestart]

Machine Learning is much more nuanced than people seem to understand. You can't just throw data at a net and expect results-this field requires a heavy degree of intuition, and engineers must be prepared for nets to pick up on patterns not obvious to humans, which can lead to unintuitive results.

Neural nets are basically black box heuristics, with unpredictable edge cases. Much like human reasoning, I'd warrant!