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Outline

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

    Linear Algebra for Machine Learning

    Author:Vikash Srivastava
    Topic:Algebra
    Linear Algebra for Machine Learning

    Table of Contents

    • 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
    Next
    Introduction to Linear Algebra

    New Resources

    • רישום חופשי
    • Reflection = 180° Rotation about a Line
    • Reflection across a line
    • Volume by Disk/Washer around y
    • အခြေခံ data အခေါ်အဝေါ်များ

    Discover Resources

    • Candy Land
    • hi_memory_use_vector
    • נגזרות של פונקציות טריגונומטריות
    • Quiz Problem#1
    • Martin 1a&1b
    • ทรงกระบอก

    Discover Topics

    • Curve Sketching
    • Parallelogram
    • Polygons
    • Statistical Characteristics
    • Rotation
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