About this Course

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.

Course Cost
Free
Timeline
Approx. 1 weeks
Skill Level
beginner
Included in Product

Rich Learning ContentRich Learning Content

Interactive QuizzesInteractive Quizzes

Taught by Industry ProsTaught by Industry Pros

Self-Paced LearningSelf-Paced Learning

Student Support CommunityStudent Support Community

Course Leads

Ortal Arel

Ortal Arel

Instructor

Prerequisites and Requirements

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.

See the Technology Requirements for using Udacity.

Why Take This Course

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).

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals