Artificial Intelligence, Deep Learning, Machine Learning, Optimization.
numpy as np y_hat = np.array([0.000, 0.166, 0.333]) y_true = np.array([0.000, 0.254, 0.998]) def rmse(predictions, targets): differences = predictions - targets differences_squared = differences ** 2 mean_of_differences_squared = differences_squared.mean() rmse_val =