AI, Supervised Learning, Machine Learning.
in the steepest downhill direction to reach the lowest point. Similarly, model parameters turning with, for example, gradient descent, helps the model find the minimum error by adjusting its parameters in the direction that reduces the error the most. 2. Hyperparameter tuning. Imagine you have a