Andrew Gurung
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Andrew Gurung
  • 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
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  1. Data Sciencechevron-right
  2. Linear Algebra

Vectors

Vector Basicschevron-rightVector Projectionchevron-rightCosine Similaritychevron-rightVector Norms and Orthogonalitychevron-rightLinear combination and spanchevron-rightLinear independence and Basis vectorschevron-right
PreviousLinear algebra explained in four pageschevron-leftNextVector Basicschevron-right

Last updated 5 years ago

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