Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...
Abstract: Kolmogorov–Arnold Networks (KANs), a recently proposed neural network architecture, have gained significant attention in the deep learning community, due to their potential as a viable ...
Abstract: Gradient descent is a fundamental optimization algorithm widely used in artificial intelligence to minimize the loss function and find the optimal parameters of a model, so optimize the ...
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