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Learn Vector Spaces, earn certificates with paid and free online courses from MIT, IIT Madras, IIT Kharagpur, Rice University and other top universities around the world. Read reviews to decide if a class is right for you.
This course is all about matrices, and concisely covers the linear algebra that an engineer should know. We define matrices and how to add and multiply them, and introduce some special types of matrices.
Explore lattice topological phases with Fiona Burnell, covering lattice Hamiltonians, vector spaces, local rules, and gauge choices in this comprehensive lecture on advanced quantum physics concepts.
Explore the dimension formula for vector spaces through worked examples and a complete proof. Learn to calculate dimensions of subspaces and their intersections in R^4.
Explore vector space axioms with concrete examples, including addition and scalar multiplication maps, 8 key axioms, and proofs for 3D coordinate vectors. Gain insights into unique properties of vector spaces.
Explore monogenic functions in infinite-dimensional vector spaces, their relation to spatial harmonic functions, and implications for complex analysis beyond traditional Cauchy integral formulas.
Learn the mathematics behind linear algebra and link it to matrix software development.
This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.
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 mathematical foundations of Principal Component Analysis (PCA) for dimensionality reduction. Learn statistics, inner products, orthogonal projections, and derive PCA from a geometric perspective.
This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai
Explore vector spaces, linear transformations, eigenvalues, and matrix decompositions. Gain essential mathematical foundations for machine learning and data science applications.
Learn Math for Video Game Design & Coding through Solving fun Video Game Problems
Learn How to Define Space And How it is Characterized And Measured. We Make Linear Algebra Math Fun And Easy.
Much more about matrices; abstract vector spaces and their bases; linear transformations animated with MANIM
Inner product spaces, quadratic forms, symmetric matrices: more advanced problem solving; singular value decomposition
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