Evaluating Multi-label Classifiers
Understanding Dynamic Programming
Understanding Maximum Likelihood Estimation
Understanding Fishers Linear Discriminant
Visualizing the Defective Chessboard problem
How Neural Networks Solve the XOR Problem
The perceptron is a classification algorithm. Specifically, it works as a linear binary classifier. It was invented in the late 1950s by Frank Rosenblatt.
The perceptron basically works as a threshold function — non-negative outputs are put into one class while negative ones are put into the other class…
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