Deep Learning, Linear Algebra, Neural Networks, Machine Learning, Artificial Intelligence.
Generate synthetic data np.random.seed(0) X = 2 * np.random.rand(100, 1) y = 4 + 3 * X + np.random.randn(100, 1) # Linear regression using the Normal Equation X_b = np.c_[np.ones((100, 1)), X] # Add a bias term (intercept) to X theta_best = np.linalg.inv(X_b.T.dot(X_b)).dot(X_b.T).dot(y) # Create