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1. Vectors

Updated
17 Sept 2026
1 min read
1 sections
Page 2 of 17
Master Linear Algebra with Python

Vectors

Vectors are the fundamental building blocks of linear algebra. In artificial intelligence, vectors represent features, spatial coordinates, word semantics, and hidden layers. Understanding how to define, visualize, and operate on vectors is the first step to mastering machine learning.

In this section

  1. [01]1. Introduction to Vectors→
  2. [02]2. Vector Addition and Subtraction→
  3. [03]3. Vector-Scalar Multiplication→
  4. [04]4. Vector Dot Product→
  5. [05]5. Dot Product Properties→
  6. [06]6. Vector Length→
  7. [07]7. Dot Product Geometry→
  8. [08]8. Hadamard Product→
  9. [09]9. Outer Product→
  10. [10]10. Cross Product→
  11. [11]11. Complex Numbers & Hermitian Transpose→
  12. [12]12. Unit Vectors→
  13. [13]13. Vector Subspaces→
  14. [14]14. Vector Span→
  15. [15]15. Linear Independence→