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Learn Linear Transformations, earn certificates with paid and free online courses from MIT, Johns Hopkins, Georgia Tech, IIT Madras and other top universities around the world. Read reviews to decide if a class is right for you.
Explore linear transformations with Oxford mathematician Dr Tom Crawford, covering definitions, properties, and examples in R3, including matrix multiplication and differentiation.
Explore row reduction applications in linear transformations, spanning sets, and linear independence. Gain insights into vector spaces and matrix operations through practical examples and in-depth analysis.
Discover essential stretching techniques and proper form to enhance flexibility, prevent injury, and improve overall physical well-being in this practical guide.
Explore trace theory fundamentals, focusing on trace maps and their ranges in this concise introduction to the mathematical concept.
Learn the mathematics behind linear algebra and link it to matrix software development.
Master essential vector and matrix operations using NumPy, from initialization and properties to determinants and rank calculations, building practical linear algebra skills for data analysis.
Master advanced linear algebra concepts using NumPy, from eigenvalues and eigenvectors to matrix diagonalization and SVD, with hands-on applications in Python.
Master matrix theory and linear algebra, exploring systems of equations, vector spaces, determinants, eigenvalues, and applications in various disciplines. Gain practical skills for solving complex mathematical problems.
Explore linear systems, matrices, and vector equations, gaining foundational skills in linear algebra. Learn to solve and classify linear systems, understand linear transformations, and apply concepts to real-world problems.
Develop matrix algebra techniques, study determinants, and explore eigenvectors to analyze linear transformations. Apply concepts to Markov chains and Google PageRank algorithm.
Gain insights into essential mathematical concepts powering AI - from functions and matrices to calculus and probability - with practical applications in machine learning and data analysis.
This course takes you through the first three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.
Explore fundamental linear algebra concepts, from systems of equations to matrix algebra, with applications in economics and computer graphics. Develop problem-solving skills for real-world scenarios.
Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis.
This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems.
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