So in 1996 e.g. a La Nina was running and the model predicted about 1%
less HH outgoings than usual. (The fact the actual value was about
0.1% over we can put down to "other factors").
So in 1996 e.g. a La Nina was running and the model predicted about 1%|Wotta load of pre-conditioned BULLSHITE!!!
less HH outgoings than usual. (The fact the actual value was about
0.1% over we can put down to "other factors").
In some project for Allen AI to create a program that could pass
a US year 12 science exam we combined several algorithms that looked
at the words in the questions, the words in the course material,
and the words in the answers to usually score an A on the exam.
Oftentimes inside that program were hillbilly algorithms that
always got the answer wrong but were therefore useful to guide the
rest of the program to the the answers right.
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