Implementing Linear Regression with Gradient Descent Variants
Gradient descent is widely adopted in modern machine learning inference due to its efficiency with large-scale datasets and high-dimensional feature spaces. Unlike closed-form solutions that become computationally prohibitive as data volume grows, gradient descent updates parameters iteratively using gradient computations on subsets or the enti ...
Posted on Sat, 09 May 2026 22:02:58 +0000 by mattkirkey