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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

    • Squaring a Rectangle (PST Version)
    • Midpoint Theorem Questions: Mild
    • Modifiable Right Triangular Prism
    • Odd Function Explorer
    • Graphing Basic and Compound Inequalities

    Descobrir recursos

    • Exercise 2
    • wk15.txt
    • Bisectors 1
    • การสร้างรูปคลี่รูปเรขาคณิตสามมิติ
    • tll2009nshsorthocenter3rdper

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    • Cálculo Diferencial
    • Segmento
    • Números Racionais
    • Quadriláteros
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