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  1. Linear Algebra for Machine Learning
    1. Introduction to Vectors
    2. Introduction to Matrices

    Linear Algebra for Machine Learning

    Egilea:Vikash Srivastava
    Gaia:Aljebra
    Linear Algebra for Machine Learning

    Edukien zerrenda

    • 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
    Hurrengoa
    Introduction to Linear Algebra

    Baliabide berriak

    • Angle Addition: Warm Up Exercises
    • bewijs stelling van Pythagoras
    • Some random function
    • Cartesian vs Polar
    • Trefoil Knot

    Aurkitu Baliabideak

    • Equation of a Circle
    • Slider Controls Width of Quadratic
    • Pantograph
    • Fraction Stretch 1 - Blog
    • Untitled

    Aurkitu Gaiak

    • Funtzio Esponentzialak
    • Kosinua
    • Parabola
    • Biraketa
    • Arrazoiak
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