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  1. 1 9:52 Vectors | Chapter 1, Essence of linear algebra 3Blue1Brown · 12.2M views
  2. 2 9:59 Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra 3Blue1Brown · 7.3M views
  3. 3 10:59 Linear transformations and matrices | Chapter 3, Essence of linear algebra 3Blue1Brown · 7M views
  4. 4 10:04 Matrix multiplication as composition | Chapter 4, Essence of linear algebra 3Blue1Brown · 4.3M views
  5. 5 4:46 Three-dimensional linear transformations | Chapter 5, Essence of linear algebra 3Blue1Brown · 2.7M views
  6. 6 10:03 The determinant | Chapter 6, Essence of linear algebra 3Blue1Brown · 4.9M views
  7. 7 12:09 Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra 3Blue1Brown · 3.8M views
  8. 8 4:27 Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra 3Blue1Brown · 2M views
  9. 9 14:12 Dot products and duality | Chapter 9, Essence of linear algebra 3Blue1Brown · 3.3M views
  10. 10 8:54 Cross products | Chapter 10, Essence of linear algebra 3Blue1Brown · 2.4M views
  11. 11 13:10 Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra 3Blue1Brown · 1.6M views
  12. 12 12:12 Cramer’s rule, explained geometrically | Chapter 12, Essence of linear algebra 3Blue1Brown · 1.5M views
  13. 13 12:51 Change of basis | Chapter 13, Essence of linear algebra 3Blue1Brown · 2.5M views
  14. 14 17:16 Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra 3Blue1Brown · 6.2M views
  15. 15 13:13 A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra 3Blue1Brown · 1.3M views
  16. 16 16:46 Abstract vector spaces | Chapter 16, Essence of linear algebra 3Blue1Brown · 1.8M views