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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

    • Parallel Line Image Maker
    • Riemann Sums
    • Tangent Vector (2)
    • Task 3 - Custom Solid 1
    • apec

    Entdecke Materialien

    • ArchimedesTwinCircles
    • Congruent Triangles Exploration 5
    • UCSMP GE L 3-6 Activity 2 (parallel lines and slopes)
    • Question 3
    • การคูณเศษส่วน

    Entdecke weitere Themen

    • Kugel
    • Bruchrechnen oder Brüche
    • Zufallsvariablen oder Zufallsgrößen
    • Integral
    • Tangente
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