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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

    • Parabolas, Lines and Nomograms
    • Pythagorean Theorem: Extension Exercises
    • bewijs stelling van Pythagoras
    • Pythagorean Template: Integer Legs
    • What Do You See?

    Descobrir recursos

    • RotationAutourOrigine2
    • Quadrilaterals project
    • Perpendicular Bisector of a Radius
    • GER - Fermat, τέμνουσα, εφαπτόμενη
    • กราฟสมการเชิงเส้น

    Explorar Tópicos

    • Distribuições
    • Triângulos Escalenos
    • Paralelogramo
    • mdc e mmc
    • Lógica
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