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Related lectures (27)
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Linear Independence and Basis
Explains linear independence, basis, and matrix rank with examples and exercises.
Matrix Determinants and Linear Independence
Explores matrix determinants, linear independence, and bases in vector spaces.
Linear Combinations and Basis Characterization
Explores linear combinations, basis determination, and vector space dimensionality through practical examples and exercises.
Unsupervised Learning: PCA & K-means
Covers unsupervised learning with PCA and K-means for dimensionality reduction and data clustering.
Linear Applications: Matrices and Spaces
Covers linear applications, matrices, and vector spaces, emphasizing the concept of linear independence.
Finite Element Method: Quadrangular Elements
Explores basic functions and criteria in quadrangular finite elements using the finite element method.
Electrotechnique: Basics and Applications
Covers the basics of electrotechnique, including linear elements, current regimes, power types, and practical applications.