Eigenvectors and Eigenvalues

Engineering and Technology

Short Description

Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.

Long Description

The course Eigenvectors and Eigenvalues on Udacity covers various topics including vectors, linear transformations, definitions and calculations, the characteristic equation of a matrix, eigenvalues, eigenvectors, and their relevance to machine learning. Additionally, the course explores the application of these concepts in principle component analysis (PCA).

Related Courses

Eigenvectors and Eigenvalues

by Udacity

Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.

Course Details

Duration: 1 weeks
Difficulty: Beginner
Format: Short Course
Price: Free
Course Link

Udacity

Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.

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