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DataFunTalk
DataFunTalk
Aug 27, 2019 · Artificial Intelligence

How Machines Learn: From Newton’s Second Law to the Core Steps of Supervised Learning

This article illustrates how a machine can rediscover Newton’s second law by treating force and acceleration data as a simple linear regression problem, detailing the three fundamental steps of hypothesis space definition, loss function design, and optimization through calculus or gradient methods.

Newton's lawhypothesis spaceloss function
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How Machines Learn: From Newton’s Second Law to the Core Steps of Supervised Learning