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

    Linear Algebra for Machine Learning

    Autor:Krishna Sainath Tulluri, Vikash Srivastava
    Thema:Algebra
    Linear Algebra for Machine Learning
    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

    • Steel Chair
    • Combining Random Variables
    • Graphs of Rational Expressions
    • Task 3 - Custom Solid 1
    • apec

    Entdecke Materialien

    • How2HatchTheRegion
    • Collin Fleming Picture Project
    • Multivariable Calculus
    • poutre sur 2 appuis
    • Turtle terrarium
    • Area of triangle
    • Creation of Double-Napped Cone

    Entdecke weitere Themen

    • Natürliche Zahlen
    • Dreiecke
    • Parametrische Kurven
    • Ellipse
    • Abschnittsweise definierte Funktionen
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    NutzungsbedingungenPrivatsphäreLizenz
    GrafikrechnerRechner SuiteMathe-Materialien

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