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1
Prelinear Algebra
2
Linear Algebra
3
Linear Algebra 2 : Gauss Jordan Elimination
4
Linear Algebra 3 : Finding Number of Solutions
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Linear Algebra 4 : Multiplying Matrices
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Linear Algebra 5 : Elimination Matrix & Vectors
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Linear Algebra 6 : Vectors & Spans
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Linear Algebra 7 : Subspaces
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Linear Algebra 8 : Basis & Cauchy Schwarz Inequality
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Linear Algebra 9 : Plane Equations & Vector Triangle Inequality
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Linear Algebra 10 : Cross Product
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Linear Algebra 11: Null Space
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Linear Algebra 12 : Solving Ax = b
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Linear Algebra 13 : Linear Transformations
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Linear Algebra 14 : Magic Transformations
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Linear Algebra 15 : Rotate & Scale Vectors
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Linear Algebra 16 : Linear Transformation Projections
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Linear Algebra 17 : Determinants
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Linear Algebra 18 : Determinants & Systems of Equations
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Linear Algebra 19 : Find Area with Determinants
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Linear Algebra 20 : Transpose
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Linear Algebra 21 : 4 Fundamental Subspaces
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Linear Algebra 22 : Orthogonal Complements
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Linear Algebra 23 : Projections on Any Subspace
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Linear Algebra 24 : Least Squares Method
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Linear Algebra 25 : Change of Basis Matrix
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Linear Algebra 26 : Orthonormal Basis
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Linear Algebra 27 : Gram-Schmidt Process
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Linear Algebra 28 : Eigenvalues and Eigenvectors
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Linear Algebra 29 : Final Video
Description:
Dive into a comprehensive 7-hour course on Linear Algebra, covering essential topics from prelinear algebra to eigenvalues and eigenvectors. Master fundamental concepts such as Gauss-Jordan Elimination, matrix multiplication, vector operations, and subspaces. Explore advanced topics including linear transformations, determinants, orthogonal complements, and the Gram-Schmidt process. Learn practical applications like solving systems of equations, finding areas using determinants, and applying the least squares method. Develop a strong foundation in linear algebra through a structured curriculum that progresses from basic principles to complex mathematical concepts, preparing you for advanced studies in mathematics, engineering, and related fields.

Linear Algebra

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