A followup piece to my intro to ML reductions. Covers one-against-all, weighted one-against-all, the Costing algorithm, and the one classifier trick.
Part I in a series on reducing complex machine learning problems to simpler sub-problems.
Disclaimer: I wrote this piece.
After watching Once Upon a Time in America for the first time this weekend (a shameful omission on my part), I found this New York Times’ piece.
The UK is particularly reliant on Just in Time because it doesn’t feed itself. Domestic food production has been steadily declining from the early 1980s and is now at just 60%. Most of our imports come from the EU because it is closest to us. With food more than arguably any other good, distance is important – because it’ll go off. About 10,000 containers of food come into the UK from the EU daily.
Recommended reading on the impact a no-deal scenario could have on the UK food industry.
A piece I wrote on the man behind one of the most popular statistical hypothesis tests of all time.