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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

    • z`]]
    • Tangent in Cartesian and Polar Coordinates
    • רישום חופשי
    • bewijs stelling van Pythagoras
    • दुई-ओटा समुहको संयोजन (Union of two sets)

    Discover Resources

    • Regular Polygons
    • If f(x)=b^x, for what value of b is f=f' ?
    • Geometry - 1.11 AP2 & AP3
    • Slope Product

    Discover Topics

    • Centroid or Barycenter
    • Binomial Distribution
    • Differential Calculus
    • Parabola
    • Special Points
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