Is that 300B Apple's global revenue? If so, I'd imagine there's your answer. Prior Apple fancy accounting tricks had all revenue funneled through the friendliest tax haven until they got called on it. I'd imagine…
It also looks like part of the outside edge of the ear got blurred mistakenly.
I'm also perplexed about this. Anyone's car could be stolen, and then used to commit any number of crimes. Maybe the woman in the article didn't report the car as stolen?
do people use social media as their sole news source? why is a newspaper my friend?
Sorry, I should have specifically mentioned how it differs from random indexing/projection. I was immediately reminded of a similar inference example using random indexing/projection.…
Wondering how this differs from the SemanticVectors package? Will have to look into word2vec further.
Is that 300B Apple's global revenue? If so, I'd imagine there's your answer. Prior Apple fancy accounting tricks had all revenue funneled through the friendliest tax haven until they got called on it. I'd imagine…
It also looks like part of the outside edge of the ear got blurred mistakenly.
I'm also perplexed about this. Anyone's car could be stolen, and then used to commit any number of crimes. Maybe the woman in the article didn't report the car as stolen?
do people use social media as their sole news source? why is a newspaper my friend?
Sorry, I should have specifically mentioned how it differs from random indexing/projection. I was immediately reminded of a similar inference example using random indexing/projection.…
Wondering how this differs from the SemanticVectors package? Will have to look into word2vec further.