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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

    • Reflection Across 2 Parallel Lines
    • Reflection = 180° Rotation about a Line
    • Volume by Disk/Washer around y
    • Triangle with 3 Right Angles
    • Making New Year's resolutions for 2026

    Découvrir des ressources

    • Practice
    • Centroid
    • דלתון1
    • ระบบจำนวนจริงเบื้องต้น
    • The meaning of similar figures

    Découvrir des Thèmes

    • Pavé Droit
    • Division
    • Symétrie
    • Plans
    • Rapports
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