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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
    Thème :Algèbre
    Linear Algebra for Machine Learning

    Table des matières

    • 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
    Suivant
    Introduction to Linear Algebra

    Nouvelles ressources

    • apec
    • Slope and Road Signs
    • Random Polar Curve (3)
    • Model sferyczny - sześcian-ośmiościan
    • Hyperbolic Paraboloid

    Découvrir des ressources

    • Sacred Geometry Gate
    • integers
    • ben_kuckkan_Qtr1project_O1
    • LanceMillertransversalone
    • Adjacent

    Découvrir des Thèmes

    • Orthocentre
    • Addition
    • Corrélation
    • Triangles Rectangles
    • Calcul
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