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Премиум
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    Welcome Message
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    Linear Algebra RoadMap 2024
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    Pre-Requisites Introduction
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    Refreshment - Norms & Euclidean Distance
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    Refreshment - Real Numbers and Vector Space
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    Refreshment - Cartesian Coordinate System & Unit Circle
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    Refreshment - Angles, Unit Circle and Trigonometry
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    Refreshment - Pythagorean Theorem & Orthogonality
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    Why these Pre-Requisites Matter
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    Module 2.1: Foundations of Vectors
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    Module 2.2: Special Vectors and Operations
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    Module 2.3: Part 1 - Scalar Multiplication
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    Module 2.3 Part 2 - Linear Combination and Unit Vectors
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    Module 2.3 Part 3 - Span of Vectors
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    Module 2.3: Part 4 - Linear Independence
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    Module 2.4: Dot Product, Cauchy-Schwarz Inequality and Its
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    Module 1: Foundations of Linear Systems and Matrices
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    Module 2: Introduction to Matrices
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    Module 3: Core Matrix Operations
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    Module 4: Part 1 Solving Linear Systems - Gaussian Reduction
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    Module 4: Part 2 Solving Linear Systems - Gaussian Reduction
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    Module 4: Part 3 Solving Linear Systems - Gaussian Reduction
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    Module 4: Part 4 Solving Linear Systems - Gaussian Reduction
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    Module 1: Algebraic Laws for Matrices
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    Module 2: Determinants and Their Properties
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    Module 3: Matrix Inverses and Identity Matrix
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    Module 4: Transpose of Matrices: Properties and Applications
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    Module 1: Part 1 Basis of Vector Space
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    Module 1: Part 2 Vector Projection and Calculation
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    Module 1: Part 3 Gram-Schmidt Process
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    Module 2: Special Matrices and Their Properties
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    Module 3: Matrix Factorization, Examples and Applications
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    Module 4: QR Decomposition Overview
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    Module 5: Eigenvalues, Eigenvectors, and Eigen Decomposition
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    Module 6: Singular Value Decomposition (SVD)