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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

    • seo tool
    • Two Triangle Theorem
    • Proving Triangles Similar by Dilation
    • Quadratic Equations: the Geometry of the Relationships Between the Coefficients and the Solutions
    • bewijs stelling van Pythagoras

    Découvrir des ressources

    • Imagens e vídeos motivacionais
    • Math Domino Effect
    • Transformations of functions
    • Worksheet 1
    • SplittingShapes_203

    Découvrir des Thèmes

    • Intersection
    • Calcul
    • Test d'Hypothèse
    • Aire
    • Calcul Intégral
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