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3Blue1Brown
A quick trick for computing eigenvalues | Essence of linear algebra, chapter 15
A quick way to compute eigenvalues of a 2x2 matrix
3Blue1Brown
Eigenvectors and eigenvalues: Essence of Linear Algebra - Part 14 of 15
Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?
3Blue1Brown
Eigenvectors and eigenvalues | Essence of linear algebra, chapter 10
Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?
Catalyst University
Particle-on-a-Ring: Theory and Interpretation
Particle-on-a-Ring: Theory and Interpretation
Catalyst University
Postulates of Quantum Mechanics: Orthonormality & Basis Sets
Postulates of Quantum Mechanics: Orthonormality & Basis Sets
Catalyst University
QM Applications: Particle-in-a-Box (Derivation)
QM Applications: Particle-in-a-Box (Derivation)
Catalyst University
Postulates of Quantum Mechanics: Eigenvalues & Eigenfunctions
Postulates of Quantum Mechanics: Eigenvalues & Eigenfunctions
Catalyst University
Postulates of Quantum Mechanics: Hermitian Operators 2
Postulates of Quantum Mechanics: Hermitian Operators 2
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Singular Value Decomposition (SVD)
In this video, we will cover Singular Value Decomposition (SVD).
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Variable Clustering
This video talks about variable clustering.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Derivation
In this video, we will cover PCA derivation.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Positive Semi Definite Matrix
In this video, we will cover a positive semi definite matrix.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Professor Dave Explains
Finding Eigenvalues and Eigenvectors
Defining eigenvalues and eigenvectors, and outlining how to solve for them given a particular matrix.
Khan Academy
Khan Academy: Linear Algebra: Eigenvalues of a 3x3 Matrix
Video reviewing the process of finding eigenvalues and then using that process to find the eigenvalues for a specific 3x3 matrix. Part of the process requires finding the determinant of a matrix and solving a cubic equation. [14:08]
Khan Academy
Khan Academy: Linear Algebra: Eigenvectors and Eigenspaces for a 3x3 Matrix
Video finding the eigenspace for the two eigenvalues for the specific 3x3 matrix from the previous video. Part of the process of solving requires finding a null space by getting a matrix into reduced row echelon form. The resulting two...
Khan Academy
Khan Academy: Linear Algebra: Finding Eigenvectors and Eigenspaces Example
Video defining eigenspace as the set of all the eigenvectors of a matrix with a specific eigenvalue. Finds the eigenspace for the two eigenvalues found in the previous video. Part of the process of solving requires finding a null space...
Khan Academy
Khan Academy: Linear Algebra: Introduction to Eigenvalues and Eigenvectors
Video defining eigenvectors as scaled vectors and eigenvalues as their scale value and explaining their significance. Video references the example from a previous video about changing coordinate systems to make finding the transformation...
Khan Academy
Khan Academy: Linear Algebra: Example Finding the Eigenvalues of a 2x2 Matrix
Video using the conclusion from the previous video to find the eigenvalues of a specific 2x2 matrix. Part of the process requires finding the determinant of a matrix and solving a quadratic equation. [5:39]
Khan Academy
Khan Academy: Linear Algebra: Proof of Formula for Determining Eigenvalues
Video beginning the process of finding eigenvectors and their eigenvalues by manipulating the equation for finding a transformation where the result is an eigenvector. Includes review of null space and linear independence and dependence...