Instructional Video14:21
Virtually Passed

2DOF Spring Mass System Proof

Higher Ed
This is an alternate proof for finding the natural frequencies and natural modes for a 2 DOF system. This method can always be used, but it's easier to involve matrices for larger degrees of freedom.



The equation of motion...
Instructional Video4:00
Zach Star

How to Take All the Math Classes You Need Right From Your Computer

12th - Higher Ed
This video goes over how you can learn all the math classes you need and self teach them, right from your computer. There are lots of resources out there when it comes to math help, however it can be disorganized making it hard to know...
Instructional Video32:04
Curated Video

Data Science and Machine Learning with R - Linear Regression - Real Model Section Introduction

Higher Ed
This video explains linear regression – a real model.
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This clip is from the chapter "Linear Regression - a Real Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This...
Instructional Video11:17
Professor Dave Explains

Orthogonality and Orthonormality

9th - Higher Ed
Defining vectors as being orthogonal and orthonormal.
Instructional Video9:36
Professor Dave Explains

The Gram-Schmidt Process

9th - Higher Ed
An overview of the Gram-Schmidt process.
Instructional Video9:33
Instructional Video12:25
Professor Dave Explains

Linear Independence

9th - Higher Ed
Defining linear independence.
Instructional Video5:26
Curated Video

High Performance Scientific Computing with C 1.5: Linear Equations and Matrix Methods

Higher Ed
How can we invert a matrix? How fast can we do it?<br/>
• Learn why matrix inversio<br/>n is useful
• See how to inver<br/>t a matrix numerically
• Learn <br/>how expensive matrix inversion is
Instructional Video9:03
Professor Dave Explains

Change of Basis

9th - Higher Ed
How to perform a change of basis on a system of equations.
Instructional Video8:12
Professor Dave Explains

Diagonalization

9th - Higher Ed
Performing diagonalization.
Instructional Video31:28
Curated Video

Data Science and Machine Learning with R - Working with Matrices

Higher Ed
This video explains working with matrices.
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This clip is from the chapter "Data Types and Structures in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This video explains data...
Instructional Video17:05
Virtually Passed

Fitting a Line using Least Squares #SoME2

Higher Ed
The Least Squares method is widely used to fit curves to data. This is called Least Squares regression. This video shows how to solve the ordinary least squares minimization problem for 1 unknown and 2 unknowns. In...
Instructional Video26:53
Professor Dave Explains

The Quantum Barrier Potential Part 2: Defining the Transmission and Reflection Coefficients

9th - Higher Ed
In the previous tutorial we introduced our second quantum problem, that of the quantum barrier potential. Again, this involves a free particle that encounters a barrier of finite potential. We've already solved the Schrödinger equation...
Instructional Video3:25
Brian McLogan

Using substitution to solve a system when multiple variables have a coefficient of 1

12th - Higher Ed
👉Learn how to solve a system of equations by substitution. To solve a system of equations means to obtain a common values of the variables that makes the each of the equation in the system true. To solve a system of equations by...
Instructional Video5:19
Professor Dave Explains

Subspaces and Span

9th - Higher Ed
Introducing the concepts of subspaces and span.
Instructional Video11:21
Brian McLogan

Master Solving one step equations

12th - Higher Ed
Master Solving one step equations
Instructional Video11:02
Brian McLogan

Master Solving two step equations

12th - Higher Ed
Master Solving two step equations
Instructional Video9:39
Brian McLogan

Master Solving a multi step equation with the variable on the same side

12th - Higher Ed
Master Solving a multi step equation with the variable on the same side
Instructional Video22:45
Professor Dave Explains

Wavefunction Properties, Normalization, and Expectation Values

9th - Higher Ed
We are beginning to get a glimpse of quantum mechanical principles from a rigorous, mathematical perspective. Now that we know how to use operators in conjunction with wavefunctions, let's get a better sense of what wavefunctions...
Instructional Video5:04
Professor Dave Explains

Image and Kernel

9th - Higher Ed
Defining image and kernel.
Instructional Video6:21
Virtually Passed

Least Squares Formula PROOF

Higher Ed
First video
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f='https://youtu.be/6eLJSzOHdc8' target='_blank' rel='nofollow'>video

Linear least squares is a method commonly used to fit curves to data. The equation used for least squares here is derived...
Instructional Video11:39
Packt

Fundamentals of Neural Networks - Convolutional Operation

Higher Ed
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...
Instructional Video2:36
Curated Video

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

Higher Ed
In this video, we will cover Least Squares.
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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 Projects)...
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.
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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...