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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

    • Pythagorean Theorem: Extension Exercises
    • Parabolas, Lines and Nomograms
    • Linear Equation Graphs: Thin Slice
    • Pythagorean Template: Integer Legs
    • Slope Illustrator (2)

    Descubrir recursos

    • PITAGORAS
    • Find the Hypotenuse
    • HW#55A- Perpendicular b
    • Untitled
    • Solving Systems

    Descubre temas

    • Problemas de Optimización
    • Función Tangente
    • Triángulos
    • Cubo
    • Cuadrado
    InformaciónSociosCentro de ayuda
    Condiciones del servicioPrivacidadLicencia
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