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Esquema

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

    Linear Algebra for Machine Learning

    Autor:Vikash Srivastava
    Tema:Álgebra
    Linear Algebra for Machine Learning

    Tabla de contenidos

    • 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
    Siguiente
    Introduction to Linear Algebra

    Nuevos recursos

    • Regular Star Polygons
    • Taylor Error Bound
    • Rolling a Square
    • The Geometry of the Coefficients of a Quadratic Function
    • အခြေခံ data အခေါ်အဝေါ်များ

    Descubrir recursos

    • Angles at a vertex of a Regular Polygon
    • domasna sin
    • Mia Thompson:Slanty Shanty
    • Triangulating Circles
    • Root rectangles zlati rez

    Descubre temas

    • Función potencial
    • Procesos estocásticos o aleatorios
    • Intervalo de Confianza
    • Estadística
    • Rectas
    InformaciónSociosCentro de ayuda
    Condiciones del servicioPrivacidadLicencia
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