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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
    Topico(s):Álgebra
    Linear Algebra for Machine Learning

    Tabela 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
    Seguinte
    Introduction to Linear Algebra

    Novos Materiais

    • Isosceles Right Triangle
    • Right Triangle Inscribed in a Semicircle
    • Pythagorean Template: Integer Legs
    • Parabolas, Lines and Nomograms
    • Quadrant Illustrator 2

    Descubra Materiais

    • aztec
    • rational_inequality_1
    • פה הדרקון זוית בין משיק למיתר
    • Inferior Epitrochoid
    • Explore Coterminal Angles (in degrees)

    Descobrir Tópicos

    • Cálculo
    • Dilatação
    • Moda
    • Quadriláteros
    • Rotação
    SobreParceirosCentro de Ajuda
    Termos de utilizaçãoPrivacidadeLicença
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