搜索
Google Classroom谷歌课堂
GeoGebraGeoGebra 教室

概述

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

    Linear Algebra for Machine Learning

    作者:Vikash Srivastava
    主题:代数
    Linear Algebra for Machine Learning

    内容目录

    • 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
    下一页
    Introduction to Linear Algebra

    新资源

    • seo tool
    • Mondrian's Puzzle
    • Classifying Triangles
    • Untitled
    • apec

    发现资源

    • Day1- 3352_parallel
    • ALLEN_GeogebraHw1
    • Pythagorean Theorem
    • Surface Area 3

    发现主题

    • 旋转
    • 切线
    • 球面
    • 正切函数
    • 菱形
    关于合作伙伴帮助中心
    服务条款隐私许可
    图形计算器计算器套件社区资源

    在此下载应用:

    Download_on_the_App_Store_Badge_US-UK_RGB_blk_4SVG_092917

    © 2026 GeoGebra®