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Contenuti

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

    Linear Algebra for Machine Learning

    Autore:Vikash Srivastava
    Argomento:Algebra
    Linear Algebra for Machine Learning

    Sommario

    • 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
    Successivo
    Introduction to Linear Algebra

    Nuove risorse

    • Rolling a Square
    • အခြေခံ data အခေါ်အဝေါ်များ
    • General Polar Equation of Conics with Rotation (1)
    • bewijs stelling van Pythagoras
    • Assistants (custom GPTs or Gemini Gems) for Math

    Scopri le risorse

    • Kartezyen Grafik-2
    • Volumes by slicing
    • Linear Programming
    • Coordonnées cylindriques
    • Odredi trokut - zadatak

    Scopri gli argomenti

    • Triangoli
    • Programmazione o ottimizzazione lineare
    • Istogramma
    • Geometria
    • Cubo
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