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

    Linear Algebra for Machine Learning

    Tekijä:Vikash Srivastava
    Aiheet:Algebra
    Linear Algebra for Machine Learning

    Sisällysluettelo

    • 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
    Seuraava
    Introduction to Linear Algebra

    Uusia resursseja

    • Function Art 3D - Flower
    • Function art 3D - waiting shed
    • What Do You See? (2)
    • Pythagorean Theorem: Quick Illustrator
    • seo tool

    Löydä Materiaaleista

    • τεστ
    • Quadratic Graph
    • CircleGrow
    • Reflection Assignment
    • Second Proof of Pythagorean Theorem by Shear Transformation

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    • Piiri
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    • Kulmat
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