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  1. Linear Algebra for Machine Learning
    1. Introduction to Vectors
    2. Introduction to Matrices

    Linear Algebra for Machine Learning

    Auteur:Vikash Srivastava
    Onderwerp:Algebra
    Linear Algebra for Machine Learning

    Inhoudstafel

    • Introduction to Vectors

      • Introduction to Linear Algebra
      • What is a vector ?
      • Introduction to Vectors
      • Scaling Vectors
      • Vector Addition
      • Adding Vectors Geometrically
      • Vector Subtraction
      • Dot Product Insight
      • Vector Projections
      • Orthogonality Illustrated
      • Cross Product Insight
      • Vector Norms
    • Introduction to Matrices

      • Theory of Matrices
      • Determinant of a matrix
      • Inverse of a matrix
      • Eigenvalues & Eigenvectors
    Volgende
    Introduction to Linear Algebra

    Nieuw didactisch materiaal

    • Rectangle Construction Template (V2)
    • Regular Polygons and Equivalent Triangles
    • seo tool
    • The Gardener's Ellipse
    • Slope Between 2 Points (Phase 2)

    Ontdek materiaal

    • Introduction to Transformations of f(x) = sin(x)
    • Medians
    • 同學最喜愛的運動
    • Partial Sums!
    • Transform functions-10.13.20

    Ontdek onderwerpen

    • Mediaan
    • Trapezium
    • Vectoren
    • 3D vectoren (driedimensionaal)
    • Verdelingen
    InfoPartnersHulpcentrum
    GebruiksvoorwaardenPrivacyLicentie
    Grafische rekenmachineRekenmachine suiteCommunity materiaal

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