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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

    • Untitled
    • Perimeter of Rectangle
    • Parallelogram Anatomy
    • Building Figures with Set Areas
    • Rolling an Equilateral Triangle

    Descubra Materiais

    • wzp2
    • Question #3
    • Modul2_segi4,5,7_Vina_SMAI NFBSL
    • คิดเลขเร็ว
    • Tõestus

    Descobrir Tópicos

    • Superfície
    • Equações
    • Gráfico de Barras ou Gráfico de Colunas
    • Triângulo Equilátero
    • Vetores 2D (Duas Dimensões)
    SobreParceirosCentro de Ajuda
    Termos de utilizaçãoPrivacidadeLicença
    Calculadora GráficaCalculadora SuiteRecursos da Comunidade

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