Instructional Video4:41
3Blue1Brown

Three-dimensional linear transformations: Essence of Linear Algebra - Part 5 of 15

12th - Higher Ed
How to think of 3x3 matrices as transforming 3d space
Instructional Video4:27
3Blue1Brown

Nonsquare matrices as transformations between dimensions | Essence of linear algebra, chapter 8

12th - Higher Ed
How do you think about a non-square matrix as a transformation?
Instructional Video4:32
SciShow

The Surprising Benefits of Watching Cute Cat Videos

12th - Higher Ed
If you are feeling stuck, you might get benefits to be better at the task by watching cute animal videos.
Instructional Video12:08
3Blue1Brown

Inverse matrices, column space and null space: Essence of Linear Algebra - Part 7 of 15

12th - Higher Ed
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?
Instructional Video6:11
SciShow

The Strange Case of the Hypatia Stone

12th - Higher Ed
The Hypatia stone is one of the weirdest rocks on the planet. It's not just out of this world, it might be out of this solar system!
Instructional Video12:08
3Blue1Brown

Inverse matrices, column space and null space | Essence of linear algebra, chapter 6

12th - Higher Ed
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?
Instructional Video4:26
3Blue1Brown

Nonsquare matrices as transformations between dimensions | Essence of linear algebra, footnote

12th - Higher Ed
How do you think about a non-square matrix as a transformation?
Instructional Video10:02
3Blue1Brown

The determinant: Essence of Linear Algebra - Part 6 of 15

12th - Higher Ed
The determinant has a very natural visual intuition, even though it's formula can make it seem more complicated than it really is.
Instructional Video4:23
3Blue1Brown

Nonsquare matrices as transformations between dimensions: Essence of Linear Algebra - Part 8 of 15

12th - Higher Ed
How do you think about a non-square matrix as a transformation?
Instructional Video10:02
3Blue1Brown

The determinant | Essence of linear algebra, chapter 5

12th - Higher Ed
The determinant has a very natural visual intuition, even though it's formula can make it seem more complicated than it really is.
Instructional Video12:08
3Blue1Brown

Inverse matrices, column space and null space | Essence of linear algebra, chapter 7

12th - Higher Ed
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?
Instructional Video4:45
3Blue1Brown

Three-dimensional linear transformations | Essence of linear algebra, footnote

12th - Higher Ed
How to think of 3x3 matrices as transforming 3d space
Instructional Video4:46
3Blue1Brown

Three-dimensional linear transformations | Essence of linear algebra, chapter 5

12th - Higher Ed
How to think of 3x3 matrices as transforming 3d space
Instructional Video10:03
3Blue1Brown

Matrix multiplication as composition: Essence of Linear Algebra - Part 4 of 15

12th - Higher Ed
How to think about matrix multiplication visually as successively applying two different linear transformations.
Instructional Video10:58
3Blue1Brown

Linear transformations and matrices | Essence of linear algebra, chapter 3

12th - Higher Ed
When you think of matrices as transforming space, rather than as grids of numbers, so much of linear algebra starts to make sense.
Instructional Video12:27
3Blue1Brown

Linear transformations and matrices: Essence of Linear Algebra - Part 3 of 15

12th - Higher Ed
When you think of matrices as transforming space, rather than as grids of numbers, so much of linear algebra starts to make sense.
Instructional Video10:03
3Blue1Brown

The determinant | Essence of linear algebra, chapter 6

12th - Higher Ed
The determinant has a very natural visual intuition, even though it's formula can make it seem more complicated than it really is.
Instructional Video4:36
TED-Ed

TED-Ed: How to organize, add and multiply matrices - Bill Shillito

Pre-K - Higher Ed
When you're working on a problem with lots of numbers, as in economics, cryptography or 3D graphics, it helps to organize those numbers into a grid, or matrix. Bill Shillito shows us how to work with matrices, with tips for adding,...
Instructional Video14:51
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matrices

Higher Ed
In this video, you will learn about matrices. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of NumPy,...
Instructional Video5:33
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - NumPy Section Introduction

Higher Ed
In this video, we will have a quick overview of NumPy. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world...
Instructional Video4:34
Curated Video

Matrices and Basic Operations

K - Higher Ed
This video will explain matrices and give an overview of the basic operations of using them.
Instructional Video5:54
Curated Video

R Programming for Statistics and Data Science - Creating a Data Frame in R

Higher Ed
This video explains creating a data frame in R. This clip is from the chapter "Data Frames" of the series "R Programming for Statistics and Data Science".This section explains data frames.
Instructional Video6:52
Curated Video

R Programming for Statistics and Data Science - Creating a Matrix in R

Higher Ed
This video explains creating a matrix in R This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Instructional Video3:33
Curated Video

R Programming for Statistics and Data Science - Slicing a Matrix in R

Higher Ed
This video explains slicing a matrix in R. This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.