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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

    • Transforming Random Variables
    • Combining Random Variables
    • Steel Chair
    • Sine and Cosine on the Unit Circle
    • Discriminant of y = ax² + bx + c

    Descubrir recursos

    • tangent to x-squared at (1,1)
    • Feltmeyer_Trig
    • perpendicular bisector
    • matrices-criptografia-unica-admin-02
    • Tangent

    Descubre temas

    • Medias
    • Triángulos Semejantes
    • Aritmética
    • Pirámide
    • Triángulos Isósceles
    InformaciónSociosCentro de ayuda
    Condiciones del servicioPrivacidadLicencia
    Calculadora gráficaSuite CalculadoraRecursos matemáticos

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