Wasn’t sure if the flair mathematics was more appropriate or not. Can you what is it and what is its purpose as opposed to statistics?
In: Engineering
A computer has a load of data and a “known” end result. The computer performs calculations on the data and sees how close it gets to the known end result. It then does some different calculations and sees if it gets closer to the result or further away. It then uses this knowledge to inform future changes. Eventually it can get to (or very close to) the known answer by performing just the right processing. Do this a few times with a few different data sets and known results – this is known as “training” – and then you can unleash it on a data set where you *don’t* already know the answer and be fairly confident that it’ll get the right end result.
As a very useful visual example, here’s a video of a machine learning attempt to get a bipedal rig to walk without falling over:
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