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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

    • Rectangle Construction Template (V2)
    • Nikmati Keunggulan Di Bandar Judi Terpercaya
    • Domain of f(x,y)
    • The Geometry of the Coefficients of a Quadratic Function
    • Fractal Tétraèdre. Dilatation -1/2 centre triangles

    Discover Resources

    • Week 6 - Extend segment
    • Golfball_forum
    • Intercept Form of a Quadratic Function
    • LV.VO.2016.10.2
    • Parallel lines & transversal #3 (parallel/not parallel)

    Discover Topics

    • Dilation
    • Geometric Transformations
    • Circumcircle or Circumscribed Circle
    • Pythagoras or Pythagorean Theorem
    • Exponential Functions
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