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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

    • Luxembourg Symbol (2)
    • גיליון אלקטרוני להעלאת נתוני בעיה ויצירת גרף בהתאם
    • Step-By-Step Rationalization
    • seo tool
    • רישום חופשי

    Descobrir recursos

    • Dilation of an image controlled by a slider.
    • Algebra 2
    • Geogebra
    • Pg415Ex4
    • Hypotenuse Leg Congruence Investigation

    Explorar Tópicos

    • Derivadas
    • Perímetro
    • Circunferência Inscrita
    • Divisão
    • Homotetia
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