Matrices and vectors from linear algebra enable data manipulation and analysis. Dimensionality reduction and regression analysis are made possible through linear algebraic techniques.
– Machine learning integrates mathematical principles into data science seamlessly. – Algorithms such as neural networks and support vector machines use mathematics to extract patterns and make predictions.