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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

    • Volume by Disk/Washer around y
    • Shells
    • bewijs stelling van Pythagoras
    • Circle Passing Through 3 Points
    • Locus Related to Descartes' Folium

    Discover Resources

    • Edcamp Practice
    • Exercice 66 p 187
    • Tugas Gambar Irisan Bidang Pada Kubus
    • Problem solving
    • การแยกตัวประกอบ

    Discover Topics

    • Step Functions
    • Trigonometric Functions
    • Exponential Functions
    • Perimeter
    • Arithmetic Mean
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