Eigenvectors and Eigenvalues

Online Course

Udacity

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Prerequisites & Facts
Cost, Certificate & Degree
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What is the course about?

Eigenvectors and Eigenvalues

The course Eigenvectors and Eigenvalues is an online class provided by Udacity. The skill level of the course is Beginner. It may be possible to receive a verified certification or use the course to prepare for a degree.

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 description

Eigenvectors and Eigenvalues
1 weeks

Concepts in Linear Algebra

Vectors
Definitions and Calculations
Why is the relevant to Machine Learning?

Linear Transformation
Characteristic Equation of a matrix
Eigenvalues
Eigenvectors
Principle Component Analysis (PCA)

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.

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, calledPrincipal Component Analysis (PCA).

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Prerequisites & Facts

Eigenvectors and Eigenvalues

Course Topic

Computer Science, Programming

University, College, Institution

Udacity

Course Skill Level

Beginner

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Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Eigenvectors and Eigenvalues

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udacity

Eigenvectors and Eigenvalues

provided by Udacity

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