<p>A 16-episode visual series by Grant Sanderson of 3Blue1Brown that introduces linear algebra through geometric intuition — treating matrices as transformations of space rather than just grids of numbers. The series is frequently cited as one of the most accessible introductions to the subject.</p><ul><li>Covers vectors, linear combinations, span and basis, linear transformations, matrix multiplication as composition, determinants, inverse matrices, column and null space, dot and cross products, Cramer's rule, change of basis, eigenvectors and eigenvalues, and abstract vector spaces</li><li>Free to watch on YouTube and 3blue1brown.com, with accompanying text lessons</li><li>Self-paced; roughly 5–8 hours of total runtime</li><li>Useful for post-A-Level students or those heading into engineering, data science, or university mathematics at NUS or NTU</li><li>Strengthens intuition for material used in later machine learning and physics coursework</li></ul>