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Learn Orthogonality, earn certificates with paid and free online courses from MIT, Johns Hopkins, Georgia Tech, IIT Kanpur and other top universities around the world. Read reviews to decide if a class is right for you.
Explore orthogonality, diagonalization, and symmetric matrices, gaining skills applicable to AI and machine learning. Develop a strong foundation for advanced studies in data science and mathematics.
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 fundamental matrix methods essential for machine learning and data analysis, including multiplication, linear equations, orthogonality, and SVD for dimensionality reduction and PCA.
This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.
Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions
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
This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to vectors and linear equations.
Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.
Explore fundamental concepts and techniques of linear algebra, from solving systems to eigenvalues, with emphasis on both theory and practical applications.
Comprehensive exploration of linear algebra fundamentals, covering matrices, linear systems, vector spaces, transformations, and inner product spaces, with a focus on theoretical concepts and practical applications.
Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.
To illustrate the beauty and power of Linear Algebra.
Take your math skills to a new level with linear algebra, which is used in everything from computer graphics to quantum mechanics.
Master fundamental linear algebra concepts and their real-world applications, from solving linear equations to web search algorithms, population modeling, and computer image transformation.
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