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.
Eigenvectors and Eigenvalues
Concepts in Linear Algebra
Definitions and Calculations
Why is the relevant to Machine Learning?
Characteristic Equation of a matrix
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).
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.
Here you can find information, reviews and user experiences for the course “Eigenvectors and Eigenvalues“. The provider of the course – “Udacity” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!