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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

    • Marion's Theorem
    • functionartculture
    • Dividing a 2-digit number by a 1-digit number (2)
    • Torus
    • רישום חופשי

    Découvrir des ressources

    • Defining Rotation
    • Apothem
    • Task 2 Center
    • Chords intersecting inside the circle

    Découvrir des Thèmes

    • Fonctions Affines
    • Cercle Circonscrit
    • Translation
    • Arithmétique
    • Division
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