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What is Perceptron Algorithm for Credit Classification about?

This document discusses linear classification and the perceptron algorithm. It introduces creditworthiness classification as an example problem. The perceptron learning algorithm is presented as a simple method for linear classification that updates weights for misclassified examples. Non-linearly separable data is addressed using a "pocket" algorithm. Linear regression is also discussed as a way to perform classification by using the sign of the regression function. The limitations of linear models are not

Author

Mary Liu

Language

EN