Coursera
Dive into the core of Mathematics for Machine Learning with our Linear Algebra course. Learn about vectors, matrices, eigenvalues, eigenvectors, and apply these concepts to exciting tasks like image rotation and understanding algorithms like PageRank.
Coursera
Dive into the advanced techniques and theory of Linear Algebra in this specialized course. Learn about matrix algebra, determinants, and eigenvectors as you explore the powerful methods for analyzing and solving systems of linear equations. Perfect for those looking to deepen their understanding of linear transformations and vector manipulation.
MOOC Técnico
Este curso sobre Valores Próprios (VA.P) e Vetores Próprios (VE.P) é uma jornada profunda na Álgebra Linear. Aprenda a entender e aplicar esses conceitos-chave para transformações lineares, sistemas dinâmicos complexos e modelos científicos e de engenharia.
EdX
Dive into Advanced Linear Algebra: Foundations to Frontiers (ALAFF) and elevate your understanding of linear algebra's role in computing and data science. This course will equip you with advanced knowledge, practical skills in algorithm implementation, and insights into the nuances of floating-point arithmetic.
Udacity
Dive into the fascinating world of Eigenvectors and Eigenvalues with this expert-led course. Perfect for those interested in Linear Algebra, this course will teach you how to calculate these essential mathematical constructs and explore their applications in machine learning.
EdX
Dive into the advanced concepts of Linear Algebra II, focusing on matrices and linear transformations. This course is designed for those looking to deepen their knowledge in mathematics, refresh their skills, or prepare for higher-level studies in science and engineering fields. Gain a strong grasp of essential topics such as matrix operations, eigenvalues, and linear transformations.