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Outline

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

    Linear Algebra for Machine Learning

    Author:Vikash Srivastava
    Topic:Algebra
    Linear Algebra for Machine Learning

    Table of Contents

    • 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
    Next
    Introduction to Linear Algebra

    New Resources

    • Pythagorean Theorem: Quick Illustrator
    • Quadrant Illustrator
    • 挂谷问题——三尖瓣形
    • Perpendicular Lines: Quick Exploration
    • Slope Illustrator (2)

    Discover Resources

    • Dot products and Cross products
    • string art
    • Chord Segments Exploration
    • Cube and Tetrahedrons
    • Week 15 Day 1 Learning Goals

    Discover Topics

    • Polynomial Functions
    • Ellipse
    • Arithmetic Operations
    • Indefinite Integral
    • Bar Chart or Bar Graph
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