Machine learning begins with the perceptron
How does this differ from linear discriminant analysis, estimated by (say) maximum likelihood? Presumably the standard results show that it will converge to the correct model with enough data.
How does this differ from linear discriminant analysis, estimated by (say) maximum likelihood? Presumably the standard results show that it will converge to the correct model with enough data.