And an image comparison: http://cbsnews2.cbsistatic.com/hub/i/r/2000/08/22/ca3bd939-a...
Just grist for someone's mills I guess.
"Conclusive evidence" would be plane wreckage, fragments of her personal belongings (or those of other occupants) and the like. Or even statements from witnesses about a plane going down that matched the Electra's description.
But we have none of that. The only thing we have "conclusive" evidence for is that at some point she dropped out of radio contact, and was probably low on fuel.
It’s likely she crashed, and likely died on an island. The evidence is extremely suggestive. Not conclusive by any means but more than simply conjecture.
I thought the consensus was that they turned out to be a man's bones (and not even matching Earhart's proportions). Which may explain why they ended up getting "lost".
That leaves us with just that patch of aluminum, of unconfirmed origin. I would call that kind of an indication "mildly" rather than "extremely" suggestive.
They also found a woman’s shoe and a sextant with a serial in the range that would have been issued to her.
It’s not conclusive at all, I agree, but it’s got vastly more evidence (that is otherwise not easily explainable) than any other theory.
It's the 80th anniversary of her death. I assume the Amelia Earhart specials that run every five years need some new speculative angle to get people to watch.
(Also, can I note that it's actually kind of sad that Amelia Earhart had all of these astonishing accomplishments over her life... And yet the only thing we commemorate -- and the only thing most people seem to know about her -- is the accident of her death.)
"Machine learning is like a deep-fat fryer. If you’ve never deep-fried something before, you think to yourself: 'This is amazing! I bet this would work on anything!'”
I say this mostly for the humor, but also for the truth: deep-frying is the best. And I deep-fry food quite often. In fact, I am headed home to deep-fry some Won-Tons soon.
Which I think supports the original point: you can deep-fry anything and enjoy tasty results, but that _still_ doesn't mean there's anything substantial in the sense of untapped value.
My observation offers no lessons on deep learning image recognition, but as long as we are already on a tangent...
Not what you'd call delicate or refined, though.
Maybe if you used tempura batter instead of chip shop batter.