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Linear Algebra - Least Squares Approximation - 01 - Introduction
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Linear Algebra - Least Squares Approximation - 02 - Fundamental Theorem
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Linear Algebra - Least Squares Approximation - 03 - Fitting data to a straight curve Part 1
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Linear Algebra - Least Squares Approximation - 04 - Fitting data to a straight curve Part 2
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Linear Algebra - Least Squares Approximation - 05 - Fitting data to a straight curve Part 3
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Linear Algebra - Least Squares Approximation - 06 - Fitting data to a straight curve example
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Linear Algebra - Least Squares Approximation - 07 - Fitting data to more general functions
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Linear Algebra - Least Squares Approximation - 08 - The inverse of A transpose times A
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Linear Algebra - Hamming's error correcting codes - 01 - Hamming matrices
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Linear Algebra - Hamming's error correcting codes - 02 - Properties of Hamming matrices
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Linear Algebra - Hamming's error correcting codes - 03 - Example
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Linear Algebra - Hamming's error correcting codes - 04 - Parity bits
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Topics in Linear Algebra - The Functional Calculus - 01 - Theorem and Example
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Topics in Linear Algebra - The Functional Calculus - 02 - Square-root of a positive matrix
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Topics in Linear Algebra - The Functional Calculus - 03 - Polynomial interpolation
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Topics in Linear Algebra - The Functional Calculus - 04 - The determinant of a Van dermonde matrix
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Topics in Linear Algebra - The Functional Calculus - 05 - Proof of main theorem
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Affine subspaces and transformations - 01 - affine combinations
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Affine subspaces and transformations - 02 - affine subspaces
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Affine subspaces and transformations - 03 - affine transformations
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Affine subspaces and transformations - 04 - composition of affine transformations
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Stochastic maps - 01 - Conditional probabilities
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Stochastic maps - 02 - Composing conditional probabilities
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Stochastic maps - 03 - Products of conditional probabilities and a.e. equivalence
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Stochastic maps - 04 -Bayes' theorem
Description:
Dive into a comprehensive 4-hour video course on advanced linear algebra, exploring its fundamental role in mathematics, sciences, and engineering. Master least squares approximation, including data fitting and the inverse of transpose matrices. Delve into Hamming's error-correcting codes, examining Hamming matrices and parity bits. Explore the functional calculus, covering topics like polynomial interpolation and Van der Monde matrix determinants. Study affine subspaces and transformations, understanding combinations, subspaces, and compositions. Conclude with an in-depth look at stochastic maps, conditional probabilities, and Bayes' theorem. Enhance your understanding of this crucial mathematical field through lectures by Prof. Arthur Parzygnat, designed to equip you with advanced linear algebra concepts and applications.

Advanced Linear Algebra

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