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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
    Tópico:Álgebra
    Linear Algebra for Machine Learning

    Lista de conteúdos

    • 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
    Próximo
    Introduction to Linear Algebra

    Novos Materiais

    • Congruent Sides & Angles in △s: Exploration
    • Pythagorean Theorem: Quick Illustrator
    • z`]]
    • Squares Question
    • What Do You See? (2)

    Descobrir recursos

    • Joseph Panarelli Fibonacci Spiral
    • f(x) = sin (pi/x)
    • Circle Problem
    • Trajectory of a projectile
    • Exponential Regression

    Explorar Tópicos

    • Mediana
    • Triângulos Semelhantes
    • Quadrado
    • Gráfico de pizza ou gráfico de círculo
    • Homotetia
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