machine-learning
Understanding Gradient Descent
An intuitive, math‑lite walkthrough of gradient descent: loss functions, optimization goals, why closed‑form solutions fail, and how gradients guide learning.
2 articles about machine-learning
An intuitive, math‑lite walkthrough of gradient descent: loss functions, optimization goals, why closed‑form solutions fail, and how gradients guide learning.
Building an intelligent ranking system for rental properties using sentiment analysis, time decay, Wilson score confidence intervals, and anomaly detection