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  • Linear Algebra for Machine Learning
  • Introduction to Vectors
  • 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
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Introduction to Linear Algebra

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  • Inequalities on Number line
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  • Which Area is Larger?

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  • Calculus Dog--Run or Swim?
  • Finding centre of rotation 2
  • สามเหลี่ยมพีทาโกรัส
  • A generalization of Bottema's theorem

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  • Median Value
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  • Translation

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