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Virtually Passed
2DOF Spring Mass System Proof
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...
The equation of motion...
Zach Star
How to Take All the Math Classes You Need Right From Your Computer
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...
Curated Video
Data Science and Machine Learning with R - Linear Regression - Real Model Section Introduction
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...
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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...
Professor Dave Explains
Orthogonality and Orthonormality
Defining vectors as being orthogonal and orthonormal.
Curated Video
High Performance Scientific Computing with C 1.5: Linear Equations and Matrix Methods
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
• Learn why matrix inversio<br/>n is useful
• See how to inver<br/>t a matrix numerically
• Learn <br/>how expensive matrix inversion is
Curated Video
Data Science and Machine Learning with R - Working with Matrices
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...
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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...
Virtually Passed
Fitting a Line using Least Squares #SoME2
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...
Professor Dave Explains
The Quantum Barrier Potential Part 2: Defining the Transmission and Reflection Coefficients
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...
Brian McLogan
Using substitution to solve a system when multiple variables have a coefficient of 1
👉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...
Brian McLogan
Master Solving a multi step equation with the variable on the same side
Master Solving a multi step equation with the variable on the same side
Professor Dave Explains
Wavefunction Properties, Normalization, and Expectation Values
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...
Virtually Passed
Least Squares Formula PROOF
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...
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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...
Packt
Fundamentals of Neural Networks - Convolutional Operation
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Least Squares
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)...
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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)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Lagrange Multipliers
In this video, we will cover Lagrange Multipliers.
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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...
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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...