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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

    • Fourier Lissajous (Mechanical)
    • Some random function
    • Angle Addition: Warm Up Exercises
    • Rose Curve
    • Random Polar Curve (3)

    Descobrir recursos

    • Шоо орхих туршилт
    • day 76 (2)
    • Untitled
    • Tangram - samma omkrets olika area

    Explorar Tópicos

    • Diagramas
    • Divisão
    • Transformações Geométricas
    • Cone
    • Gráfico de função
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