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? • Learn why matrix inversion is useful • See how to invert a matrix numerically • Learn how expensive matrix inversion is
Curated Video
Data Science and Machine Learning with R - Working with Matrices
This video explains working with matrices. 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 types and...
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 practice though, it...
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: https://youtu.be/6eLJSzOHdc8 Linear least squares is a method commonly used to fit curves to data. The equation used for least squares here is derived using the column space of A. The 'best' value of X is the one that...
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: Lagrange Multipliers
In this video, we will cover Lagrange Multipliers. 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) A to...
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. 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) A to Z".In...
Let's Tute
Problem Solving of Pair of Linear Equations based on Substitution Method
In this online video tutorials Pair Linear Equations problem solving with cross multiplication method
Curated Video
Predictive Analytics with TensorFlow 1.2: A Basic Introduction to Predictive Analytics
In this video, we will see working principles of predictive model. We will also see why to choose predictive analytics. We will also look at some linear algebra.
• Look at the working principle of predictive model
Let's Tute
Pair of Linear Equation in Two Variables - Reducible Method
Check out our video on 'Pair of Linear Equation in Two Variables' - 'Reducible Method'