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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

    • Continuity at a Point
    • Pythagoras fractal tree: Step 1
    • Truth
    • Parabola - Paper Folding_BY IIT
    • Sphere Cylinder & Cone by IIT - Comparison

    Descobrir recursos

    • Base Ten Blocks - Counting from 0 to 99
    • ThalesTheorem
    • zad.15
    • Adding Fractions - Visual
    • биссектриса

    Explorar Tópicos

    • Interseção
    • Sequências e séries
    • Segmento
    • Diagramas
    • Características Estatísticas
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