Instructional Video17:15
3Blue1Brown

Eigenvectors and eigenvalues | Essence of linear algebra, chapter 14

12th - Higher Ed
Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?
Instructional Video17:00
3Blue1Brown

Eigenvectors and eigenvalues: Essence of Linear Algebra - Part 14 of 15

12th - Higher Ed
Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?
Instructional Video17:15
3Blue1Brown

Eigenvectors and eigenvalues | Essence of linear algebra, chapter 10

12th - Higher Ed
Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?
Instructional Video10:59
Curated Video

Matrix Introduction

9th - Higher Ed
Welcome to our comprehensive series of Advanced High School Mathematics Tutorials! This series is perfect for students, teachers, and anyone looking to deepen their understanding of higher-level mathematics. Each video breaks down...
Instructional Video8:12
Professor Dave Explains

Diagonalization

9th - Higher Ed
Performing diagonalization.
Instructional Video9:17
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Singular Value Decomposition (SVD)

Higher Ed
In this video, we will cover Singular Value Decomposition (SVD).
<
br/>
This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Instructional Video11:42
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Criteria

Higher Ed
In this video, we will cover similarity based methods criteria.
<
br/>
This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Instructional Video11:28
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Versus SVD

Higher Ed
In this video, we will cover PCA versus SVD.
<
br/>
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...
Instructional Video11:02
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Lagrange Multipliers

Higher Ed
In this video, we will cover Lagrange Multipliers.
<
br/>
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...
Instructional Video14:53
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Activity-Linear Algebra Module Python

Higher Ed
In this video, we will cover activity-linear algebra module Python.
<
br/>
This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine...
Instructional Video10:35
msvgo

Types of Matrices

K - 12th
It introduces and explains different types of matrices with examples.
Instructional Video
Khan Academy

Khan Academy: Linear Algebra: Why Eigenbases Make for Good Coordinate Systems

9th - 10th Standards
Video creating a basis out of n linearly independent eigenvectors. Reviews transformations and change of basis matrices. Shows that when the eigenbasis is used as an alternate coordinate system, the transformation is a diagonal matrix...
Instructional Video
Khan Academy

Khan Academy: Linear Algebra: Linear Transformations: Scaling and Reflections

9th - 10th Standards
Video first reviews how to find the transformation matrix using the identity matrix. Shows how to write a transformation matrix that reflects over the y-axis and scales the y-coordinates by a factor of 2. [15:13]
Instructional Video
Khan Academy

Khan Academy: Showing That an Eigenbasis Makes for Good Coordinate Systems

9th - 10th Standards
Video creating a basis out of n linearly independent eigenvectors. Reviews transformations and change of basis matrices. Shows that when the eigenbasis is used as an alternate coordinate system, the transformation is a diagonal matrix...
Instructional Video
Khan Academy

Khan Academy: Linear Algebra: Linear Transformations: Scaling and Reflections

9th - 10th Standards
Video first reviews how to find the transformation matrix using the identity matrix. Shows how to write a transformation matrix that reflects over the y-axis and scales the y-coordinates by a factor of 2. [15:13]