What is a vector? Is it an arrow in space? A list of numbers?

What is a change of basis, and how do you do it?

The determinant has a very natural visual intuition, even though it's formula can make it seem more complicated than it really is.

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

Some foundational ideas in linear algebra: Span, linear combinations, and linear dependence.

The cross product is a way to multiple to vectors in 3d. This video shows how to visualize what it means.

The determinant has a very natural visual intuition, even though it's formula can make it seem more complicated than it really is.

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 about matrix multiplication visually as successively applying two different linear transformations.

When you think of matrices as transforming space, rather than as grids of numbers, so much of linear algebra starts to make sense.

The determinant has a very natural visual intuition, even though it's formula can make it seem more complicated than it really is.

We've learned about matrix diagonalization, which is a type of matrix decomposition. There are some others that we must learn, including LU decomposition, Cholesky decomposition, QR decomposition, and singular value decomposition. Let's...

Learn 10 essential math concepts for software engineering and technical interviews. Understand how programmers use mathematics in fields like AI, game dev, crypto, machine learning, and more.

JAX is a Python library similar to NumPy for scientific computing and linear algebra, but designed to run on accelerators like Cuda-based GPUs and Google's TPUs.

The Convolution layer (CONV) uses filters that perform convolution operations as it is scanning the input with respect to its dimensions. Its hyperparameters include the filter size and stride. The resulting output is called a feature...

In this video, we will get introduced to the course and understand the learning objective.
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This clip is from the chapter "Welcome and Logistics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...

In this video, we will have a quick overview of NumPy.
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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...

If I had to learn machine learning from scratch, here’s how I’d do it.

Linear equations such as A*x=b are solved with NumPy in Python. This tutorial demonstrates how to create a matrix (A) and vector (b) as NumPy arrays and solve the set of equations with linalg.solve

This video is about physics vs math and how to know which major is right for you. You may have enjoyed them both in high school so of course you may want to major in one in college.



The good news is that if you major in...

From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML.



An Introduction to Machine...

This video goes over some of the extra math classes you can take if you get a math minor. Some of these inclu

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Vec
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This video will give you an overview about the course.