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Contenu

  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

    • Graphing Basic and Compound Inequalities
    • Laundry Basket
    • Marion's Theorem
    • Isosceles Right Triangle
    • Basic and Compound Inequality Illustrator

    Découvrir des ressources

    • ellipse definitions
    • HyperBola
    • Halloween Screen Saver
    • Constructing Dilation
    • Logarithmic Function

    Découvrir des Thèmes

    • Similitude
    • Quadrilatère Quelconque
    • Cercle
    • Soustraction
    • Vecteurs 3D (Espace)
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