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  1. Linear Algebra for Machine Learning
    1. Introduction to Vectors
    2. Introduction to Matrices

    Linear Algebra for Machine Learning

    Auteur :Vikash Srivastava
    Thème :Algèbre
    Linear Algebra for Machine Learning

    Table des matières

    • 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
    Suivant
    Introduction to Linear Algebra

    Nouvelles ressources

    • Quiz: Vertical Angles and Linear Pairs
    • רישום חופשי
    • z`]]
    • bewijs stelling van Pythagoras
    • Drunk Parabola

    Découvrir des ressources

    • parameters vertex form
    • Buffon Needle Problem General
    • Pythagorean Theorem proof by Trigonometry
    • MODUL 2.3
    • Graphical View of an Inverse (domain restrictions)
    • Identifying Right Triangles Using the Pythagorean Theorem

    Découvrir des Thèmes

    • Symétrie
    • Combinatoires
    • Variance
    • Segment
    • Coordonnées
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