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

    Linear Algebra for Machine Learning

    作者:Vikash Srivastava
    主題:代數
    Linear Algebra for Machine Learning

    目錄

    • 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
    下一步
    Introduction to Linear Algebra

    最新資源

    • Triangle with 3 Right Angles
    • Reflection across a line
    • Pitfalls of Disk/Washer Method
    • z`]]
    • Locus Related to Descartes' Folium

    探索資源

    • K,B, and P's Basement
    • f(x)=ln(x)
    • Graphing Independent and Dependent Variables
    • Função Seno Parte 2
    • Untitled

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