This visualization demonstrates non-linear regression using gradient descent. It relates to explainable AI by showing how a model learns to fit complex patterns in data. Users can observe how the algorithm adjusts its predictions based on new data points, making the learning process more transparent and interpretable. Real-world applications of this concept include: stock market prediction, climate modeling, medical diagnosis.