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

    Linear Algebra for Machine Learning

    ForfatterVikash Srivastava
    Emne:Algebra
    Linear Algebra for Machine Learning

    Indholdsfortegnelse

    • 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
    Næste
    Introduction to Linear Algebra

    Nye Materialer

    • רישום חופשי
    • Dividing a 3-digit number by a 1-digit number (1)
    • Converting Angle Measures Between Degrees and Radians
    • Addition within Two Places
    • အခြေခံ data အခေါ်အဝေါ်များ

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    Udforsk emner

    • Parallelforskydning
    • Rotation
    • Vektorer 3D (tredimensionelle)
    • Cylinder
    • Indskreven cirkel
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