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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

    • apec
    • Forming Similar Triangles
    • Nikmati Keunggulan Di Bandar Judi Terpercaya
    • 判斷錐體
    • Ringed Polyhedra

    Entdecke Materialien

    • Cut Triangles into Rectangles & Dudeney's Puzzle Generalized
    • Common Misconceptions 1
    • cos(A-B)
    • Faye_G2-Rotations
    • Cópia de Regular and irregular polygon

    Entdecke weitere Themen

    • KGV und GGT
    • Logarithmusfunktionen
    • Kreis
    • Arithmetik
    • Inkreis
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