I frequently get asked about the differences between Statistics (statistical modeling in particular), Machine LearningSimilar to humans, machines learn through experience, e.g. seeing data. This process of presenting data to an algorithm and seeing improvement in the performance/accuracy is called machine learning. and . There is indeed overlap in goals, technologies and algorithmsAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars.. Confusion arises not only from this overlap, but from the buzzword salad we are being fed in non-scientific articles. …
I frequently get asked about the differences between Statistics (statistical modeling in particular), Machine LearningSimilar to humans, machines learn through experience, e.g. seeing data. This process of presenting data to an algorithm and seeing improvement in the performance/accuracy is called machine learning. and . There is indeed overlap in goals, technologies and algorithmsAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars.. Confusion arises not only from this overlap, but from the buzzword salad we are being fed in non-scientific articles. …
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