Machine Learning

Overview of the core infrastructure, covering architectural design, CUDA primitives and Python bindings.

Binary logistic regression as a Bernoulli model: setup, cross-entropy objective, and gradient-based fitting.

Ordinary least squares as a linear mean model: setup, normal equations, and gradient updates.