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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

    • Congruent Figures
    • bewijs stelling van Pythagoras
    • Perpendicular Lines: Quick Exploration
    • Nikmati Keunggulan Di Bandar Judi Terpercaya
    • רישום חופשי

    Discover Resources

    • Funzioni razionali intere di grado n<=5 ( y= polinomio)
    • line symmetries of special shapes
    • bewijs stelling van pythagoras
    • Problem 97

    Discover Topics

    • Circumcircle or Circumscribed Circle
    • Natural Numbers
    • Logarithmic Functions
    • Random Variables
    • Integers
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