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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
    Thema:Algebra
    Linear Algebra for Machine Learning

    Inhaltsverzeichnis

    • 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
    Weiter
    Introduction to Linear Algebra

    Neue Materialien

    • Untitled
    • Linear Equation Graphs: Thin Slice
    • z`]]
    • Function art 3D - waiting shed (v2)
    • Congruent Figures

    Entdecke Materialien

    • Angle Basics
    • kara
    • türeve giriş-eğim fonksiyonu
    • Exponential gradient function
    • Picard's Method of Successive Approximations
    • Week 8 Day 1 Opener

    Entdecke weitere Themen

    • Höhenschnittpunkt
    • Strecke
    • Multiplikation
    • Volumen
    • Gleichungen
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