Home Science Mathematics Linear Algebra
Eigenvectors and Eigenvalues

Eigenvectors and Eigenvalues

Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.
Video Beginner Advanced
UPVOTE 0
SAVE THIS COURSE
Course Website
www.udacity.com
Share this page
Other courses you might like
Gallery
Description

Summary

One of the most interesting topics to visualize in Linear Algebra are Eigenvectors and Eigenvalues. Here you will learn how to easily calculate them and how they are applicable and particularly interesting when it comes to machine learning implementations.

Expected Learning

In the computational world of AI you will often encounter enormous amounts of data that needs to be processed. Often, the data volume will be so large that you will need to use some form of data reduction technique. Eigen-concepts are a big part of the mathematical background needed to understand a useful data reduction tools, called
Principal Component Analysis (PCA).

Syllabus

Math Refresher
  • Vectors
  • Linear Transformation
Definitions and Calculations
  • Characteristic Equation of a matrix
  • Eigenvalues*Eigenvectors
Why is the relevant to Machine Learning?
  • Principle Component Analysis (PCA)

Required Knowledge

To easily understand this class you will need to have mathematical background in Linear Algebra. Refresh your memory or go over the topics of Linear transformation , Determinants And a System of linear equations before beginning.


Pricing:
Free
Level:
Beginner
Duration:
1 week
Educator:
Ortal Arel
Submitted by:
Coursearena
Reviews
Would you recomment this course to a friend?
Discussion
There are no comments yet. Please sign in to start the discussion.
Other courses you might like