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  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

    • Graphing 1 + cos(θ) in Polar Coordinates
    • Graphing a Circle in Polar Coordinates
    • Polar Coordinates Book
    • Graph Segment of f(x) = x in Polar Coordinates
    • רישום חופשי

    Discover Resources

    • Integral Sums and Solids of Revolution
    • PaulKleeThreshholds
    • סכום זוויות במשולש
    • Example solution
    • Modul 6B_Daud Ijarles Lebang_SMA Santo Paulus Manokwari
    • GAMBAR 5

    Discover Topics

    • Intersection
    • Trapezium
    • Orthocenter
    • Planes
    • Root
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