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Bölüm taslağı

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

    Linear Algebra for Machine Learning

    Yazar:Krishna Sainath Tulluri, Vikash Srivastava
    Konu:Cebir
    Linear Algebra for Machine Learning
    Linear Algebra for Machine Learning

    İçindekiler

    • 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
    Sonraki
    Introduction to Linear Algebra

    Yeni Kaynaklar

    • အခြေခံ data အခေါ်အဝေါ်များ
    • दुई-ओटा समुहको संयोजन (Union of two sets)
    • Intersections of y=a^x and y=log(a, x)
    • apec
    • Untitled

    Kaynakları Keşfet

    • step 7
    • PR1-01-P1-Q1 Select Image Sequence
    • desirees house
    • A1.AREI.3 - Linear Equation Generator
    • Locus-1

    Konuları Keşfet

    • Oranlar
    • Piramit
    • Yansıma
    • Koordinatlar
    • Çıkarma
    HakkındaOrtaklarYardım Merkezi
    Kullanım ŞartlarıGizlilikLisans
    Grafik Hesap MakinesiHesap PaketiTopluluk Kaynakları

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