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  1. Linear Algebra for Machine Learning
    1. Introduction to Vectors
    2. Introduction to Matrices

    Linear Algebra for Machine Learning

    Autor:Vikash Srivastava
    Thema:Algebra
    Linear Algebra for Machine Learning

    Inhaltsverzeichnis

    • 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
    Weiter
    Introduction to Linear Algebra

    Neue Materialien

    • random coprime pairs
    • 函數的奇偶性
    • montecarlo circles 5
    • רישום חופשי
    • Neuberg's Theorem

    Entdecke Materialien

    • Geo_Tube
    • Oversum
    • SAS Exploration
    • พื้นผิวในปริภูมิ3มิติ
    • Resolution of Vectors
    • Chapter-28-1: Example

    Entdecke weitere Themen

    • Ähnliche Dreiecke
    • Statistik
    • Arithmetisches Mittel
    • Ganze Zahlen
    • Vierecke
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