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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

    • Graphing Basic and Compound Inequalities
    • Deciding How New Information Affects Probability
    • Marion's Theorem
    • Odd Function Explorer
    • Laundry Basket

    Découvrir des ressources

    • Triangle
    • Geogebra for kids
    • MAT.ALG.418, 310463, F6
    • Modul2segi4segi5segi7_Dewi Kurniasih_SMA N Olahraga Sriwijaya
    • สามเหลี่ยมพีทาโกรัส

    Découvrir des Thèmes

    • Exposant
    • Trigonometrie
    • Congruence
    • Intégrale Définie
    • Volume
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