According to DeepLearning.AI, the Mathematics for Machine Learning and Data Science specialization teaches efficient algorithms for solving systems of linear equations and determining solution uniqueness, which are critical for building AI and machine learning models. These algorithms, such as Gaussian elimination and matrix decomposition methods, form the backbone of data preprocessing, feature selection, and model optimization in practical AI workflows. Mastery of these mathematical techniques enables professionals to streamline computations, improve model accuracy, and identify underlying patterns in large datasets (Source: DeepLearning.AI, twitter.com/DeepLearningAI/status/2014415272879255590).