Ce que vous devez savoir avant
Vous commencez
Débute 4 June 2026 03:26
Se termine 4 June 2026
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Johns Hopkins University
35 Cours
L'Université Johns Hopkins est une université de recherche de renommée mondiale avec 9 écoles et campus à travers le monde. Elle propose plus de 260 programmes de diplômes, allant du premier cycle aux études supérieures et à la formation postdoctorale.
Non spécifié
Amélioration optionnelle disponible
Tous niveaux
Progressez à votre rythme
Free
Amélioration optionnelle disponible
Aperçu
Course Title:
Linear Algebra:
Matrix Algebra, Determinants, & Eigenvectors
Description:
Delve deeper into the world of linear transformations with the second course in our Linear Algebra Specialization offered by Johns Hopkins University through Coursera. Building on foundational concepts, this course explores the intricacies of matrices as special linear transformations on vectors, focusing on algebraic manipulation techniques crucial for solving systems of linear equations.
Discover the properties that define an invertible matrix and learn to identify relevant subspaces in R^n. Gain a comprehensive understanding of matrix geometry by examining eigenvalues and eigenvectors, key to fields such as mathematics, data science, machine learning, artificial intelligence, and dynamical systems.
The course culminates in practical applications, including Markov Chains and the Google PageRank Algorithm, enriching your linear algebra toolkit.
Provider:
Coursera
University:
Johns Hopkins University
Categories:
Linear Algebra Courses
