Linear regression, also called least squares ... typically use some form of gradient descent algorithm to drive the back propagation, often with a mechanism to help avoid becoming stuck in local ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression ... in particular the common stochastic gradient descent (SGD) optimization ...