3 docs tagged with "gradient-descent"

Deriving and applying gradient-descent updates for the slope and intercept of a linear least-squares model.

The one-variable gradient-descent update, learning-rate trade-offs, local minima, and a compact implementation example.

Extending gradient descent to two parameters through partial derivatives, vector updates, and convergence considerations.