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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

    • Riemann Sums
    • z`]]
    • Discriminant of y = ax² + bx + c
    • Slope Between 2 Points (Phase 2)
    • Untitled

    Entdecke Materialien

    • ConstrMediilor.
    • simultaneous graph 2nd
    • lineIntegralField002
    • Fibonacci 1
    • Ertifaa.

    Entdecke weitere Themen

    • Vektoren
    • Ähnliche Dreiecke
    • Hypothesentest oder Signifikanztest
    • Rechtwinklige Dreiecke
    • Vektoren 3D (dreidimensional)
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