Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
conclusion, by understanding eigenvalues, eigenvectors and employing the Hessian matrix calculations, we empower machine learning models to navigate complex landscapes and reach optimal solutions more efficiently. References: Best resource for linear algebra: