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Contenuti

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

    Linear Algebra for Machine Learning

    Autore:Vikash Srivastava
    Argomento:Algebra
    Linear Algebra for Machine Learning

    Sommario

    • 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
    Successivo
    Introduction to Linear Algebra

    Nuove risorse

    • Task 3 - Custom Solid 1
    • apec
    • Parallelogram Linkage
    • Sine and Cosine on the Unit Circle
    • Combining Random Variables

    Scopri le risorse

    • Introduction to Functions 6
    • Pentagons and Stars
    • Sequence 4n+5
    • คิดเลขเร็ว 5 ตัวคำตอบ 3 หลัก

    Scopri gli argomenti

    • Numeri razionali
    • Cono
    • Media
    • Volume
    • Vettori 3D (tridimensionali)
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