Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?

Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?

Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?

Defining basis and dimension.

A linear Reason: One-dimensional Closed Packing"

One-dimensional close packing is a simple arrangement of particles in a single row, with each particle touching its two neighboring particles. It is a straight line with no gaps and...

In this video, the teacher explains how to write and solve systems of non-linear equations using parameter and area formulas and substitution. The examples given involve finding the dimensions of rectangular cornfields based on given...

In this video, we will cover basis and dimensions.
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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...

It explains how to plot a graph representing a linear equation in two variables. It also includes solved problems.

In this video, we will cover supervised PCA and Fishers linear discriminant analysis.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science...

How do you think about the column space and null space of a matrix visually? How do you think about the inverse of a matrix?

How do you think about the column space and null space of a matrix visually? How do you think about the inverse of a matrix?

How do you think about the column space and null space of a matrix visually? How do you think about the inverse of a matrix?

How to think of 3x3 matrices as transforming 3d space

How to think of 3x3 matrices as transforming 3d space

How to think of 3x3 matrices as transforming 3d space

How do you think about a non-square matrix as a transformation?

How do you think about a non-square matrix as a transformation?

This rule seems random to many students, but it has a beautiful reason for being true.

How do you think about a non-square matrix as a transformation?

What Cramer's rule is, and a geometric reason it's true

In this video, we will cover coordinates versus dimensions.
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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...

This is a review of all of the dimensions used in AP Physics C - Mechanics. Okay, maybe it doesn't cover some of the basic dimensions, however, if you don't know that linear velocity is in furlongs per fortnight, then I probably can't...

Review of the topics of Linear Momentum and Impulse covered in the AP Physics 1 curriculum.

In this video, we will cover Supervised PCA and Fishers linear discriminant analysis activity.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data...