Prerequisites:
Eigenvectors and Eigenvalues
Course
Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.
Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.
Last Updated March 7, 2022
Last Updated March 7, 2022
Prerequisites:
No experience required
Course Lessons
Lesson 1
Eigenvectors and Eigenvalues
Eigenvalues and Eigenvectors are an important concept in machine learning implementation Techniques. Here you will learn how easy they are to calculate and why they are so important.
Taught By The Best
Ortal Arel
Curriculum Lead
Ortal Arel has a PhD in Computer Engineering, and has been a professor and researcher in the field of applied cryptography. She has worked on design and analysis of intelligent algorithms for high-speed custom digital architectures.
The Udacity Difference
Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.
Demonstrate proficiency with practical projects
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Gain proven experience
Retain knowledge longer
Apply new skills immediately
Top-tier services to ensure learner success
Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.
Get help from subject matter experts
Learn industry best practices
Gain valuable insights and improve your skills
Related Programs
Related Programs
4 weeks
Intermediate
3 weeks
4 weeks
Intermediate
1 hour
Discovery
3 months
Intermediate
2 weeks
Intermediate
1 hour
Discovery
1 month
Beginner
(624)
3 months
Beginner
3 weeks
Advanced
(186)
2 months
Advanced
1 week
Advanced
3 weeks
Intermediate
(275)
2 months
Intermediate
4 weeks
Intermediate