Andrew Gurung
Ctrlk
  • Introduction
  • Data Science
    • Natural Language Processing
    • Linear Algebra
      • Linear algebra explained in four pages
      • Vectors
        • Vector Basics
        • Vector Projection
        • Cosine Similarity
        • Vector Norms and Orthogonality
        • Linear combination and span
        • Linear independence and Basis vectors
      • Matrices
      • Eigendecomposition, Eigenvectors and Eigenvalues
      • Principle Component Analysis (PCA)
      • Singular-Value Decomposition(SVD)
      • Linear Algebra: Deep Learning Book
    • Calculus
    • Statistics and Probability
    • 7 Step DS Process
    • Miscellaneous
  • Computer Science
    • Primer
  • Life
    • Health
    • Philosophy
    • Self-improvement
    • Food and Travel
    • Art
    • Tools
  • Knowledge Vault
    • Book
    • Media
    • Course/Training
Powered by GitBook
On this page

Was this helpful?

  1. Data Science
  2. Linear Algebra

Vectors

Vector BasicsVector ProjectionCosine SimilarityVector Norms and OrthogonalityLinear combination and spanLinear independence and Basis vectors
PreviousLinear algebra explained in four pagesNextVector Basics

Last updated 5 years ago

Was this helpful?