Tag: loss-functions

All the articles with the tag "loss-functions".

• Learning Is Optimization: Linear and Logistic Regression, Trained by Gradient Descent

  Updated:19 Oct, 2026

  What it actually means for a model to learn: pick a loss, then walk downhill. Worked end to end on real data from this blog, with the loss choice, the closed-form fit, gradient descent and its learning-rate limit, and a first logistic-regression router whose gradient reappears in every later post.