The Log-Sum-Exp Trick is a numerical technique used in machine learning to prevent underflow and overflow issues when computing the logarithm of a sum of exponentials. It ensures stability by transforming the computation into a more numerically stable form, thereby enhancing the accuracy of algorithms like the softmax function.