Absorbing Lessons on Linear Algebra

March 25, 2018

Watching a series of YouTube sessions on Linear Algebra. An important part of understanding Deep Learning.

• 3Blue1Brown Linear Algebra:
  1. Essence of linear algebra preview – Completed January 26, 2018
  2. Vectors, what even are they? | Essence of linear algebra, chapter 1 – Completed January 26, 2018
  3. Linear combinations, span, and basis vectors | Essence of linear algebra, chapter 2 – Completed January 27, 2018
  4. Linear transformations and matrices | Essence of linear algebra, chapter 3 – Completed February 1, 2018
  5. Matrix multiplication as composition | Essence of linear algebra, chapter 4 – Completed February 2, 2018
  6. The determinant | Essence of linear algebra, chapter 5 – Completed February 3, 2018
  7. Inverse matrices, column space and null space | Essence of linear algebra, chapter 6 – Completed February 4, 2018
  8. Nonsquare matrices as transformations between dimensions | Essence of linear algebra, footnote – Completed February 4, 2018
  9. Dot products and duality | Essence of linear algebra, chapter 7 – Completed February 4, 2018
  10. Cross products | Essence of linear algebra, Chapter 8 – Completed February 4, 2018
  11. Cross products in the light of linear transformations | Essence of linear algebra chapter 8 part 2 – Completed February 4, 2018
  12. Change of basis | Essence of linear algebra, chapter 9 – Completed February 4, 2018
  13. Eigenvectors and eigenvalues | Essence of linear algebra, chapter 10 – Completed February 4, 2018
  14. Abstract vector spaces | Essence of linear algebra, chapter 11 – Completed February 5, 2018
• Basics of Mathematical Notation for Machine Learning – Completed March 25, 2018