Linear algebra is commonly used in computer science for machine learning, optimization, graphing algorithms, search engines, data organization, image processing, cryptography, and more. It allows input data like images or text to be represented as vectors and matrices that can then be transformed or manipulated through linear algebra operations to power applications like machine learning models, search result rankings, image filters, and encryption techniques.