Eigenvectors and Eigenvalues
Learn the fundamental and sophisticated theories and approaches relating to eigenvectors and eigenvalues from the ...Read more
Beginner
Online
Free
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Eigenvalues are a unique set of scalar values connected to a system of linear equations that are most likely seen in matrix equations. The characteristic components are another name for the eigenvectors. After applying linear transformations, it is a non-zero vector that can only be altered by its scalar factor. Eigenvectors and Eigenvalues online certification was developed by Ortal Arel, a certified instructor, and is made available through Udacity.
Eigenvectors and Eigenvalues online course highlights the essential technical abilities that employers seek in their employees and is geared at individuals who want to learn how technology is changing industries. Eigenvectors and Eigenvalues online training covers topics like linear transformation, characteristic equations, matrices, and principal component analysis in addition to teaching people how to compute the eigenvalue and eigenvector and explaining how they are useful and interesting when used in machine learning applications.
The highlights
- Certificate of completion
- Self-paced course
- Video lectures
- Taught by industry experts
Program offerings
- Online course
- Rich learning content. interactive quizzes
- Practice exercises
- Accessible on mobile devices
Course and certificate fees
Type of course
Free
certificate availability
No
Who it is for
What you will learn
After completing the Eigenvectors and Eigenvalues certification course, individuals will develop a better understanding of the mathematical concepts of linear equations including eigenvectors and eigenvalues. Individuals will explore the principles of linear transformation and characteristic equations of a matrix. In addition to studying the analysis of the fundamental components, individuals will also learn about the functions of eigenvectors and eigenvalues in machine learning operations.
The syllabus
Lesson 1: Eigenvectors and Eigenvalues
Instructors
Articles
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