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

    Linear Algebra for Machine Learning

    Autor:Vikash Srivastava
    Tema:Algebra
    Linear Algebra for Machine Learning

    Sadržaj

    • 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
    Sljedeće
    Introduction to Linear Algebra

    Novi radovi

    • Fourier Lissajous (Mechanical)
    • Conway Circle Theorem
    • Publish app "Public" test
    • רישום חופשי
    • Pathway to Proof: Triangle Angles

    Istraži uratke

    • storm wave
    • AngleReview
    • Reflecting Over Two Lines
    • Thing
    • Geometric Transformations Grade 6 Activity
    • File-017

    Otkrij teme

    • Hiperbola
    • Pravokutni trokut
    • Nejednakosti
    • Omjeri
    • Diferencijalna analiza
    O autoruPartneriCentar za pomoć
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    Grafički kalkulatorKomplet kalkulatoraUradci zajednice

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