Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: SubSpace
In this video, we will cover SubSpace. 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 this...
Packt
Fundamentals of Neural Networks - Forward Propagation in RNN
The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Vector Space
In this video, we will cover vector space. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Rank
In this video, we will cover Rank. 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 this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Linear Independence
In this video, we will cover linear independence. 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: Linear Combinations
In this video, we will cover linear combinations. 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: Coordinates Versus Dimensions
In this video, we will cover coordinates versus dimensions. 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...
Zach Star
Dear linear algebra students, This is what matrices (and matrix manipulation) really look like
Dear linear algebra students, This is what matrices (and matrix manipulation) really look like
Looking Glass Universe
Fourier Series
In this video, I explain what the Fourier series does, and why it is one of the most surprising results in mathematics. All the plotted graphs in this video were done in Mathematica. If you dont have the program then you can use the free...
Brian McLogan
Master How to add, subtract and multiply a vectors by a scalar
Master How to add, subtract and multiply a vectors by a scalar
Brian McLogan
Master unit vector in the same direction of another vector with a given magnitude
Master unit vector in the same direction of another vector with a given magnitude
Curated Video
Solving Systems of Equations by Linear Combination
This video explains how to solve systems of equations using linear combination, also known as elimination. It demonstrates the process step-by-step and provides examples to help students understand the concept.
Curated Video
Solving Word Problems Using Systems of Equations
In this video, the teacher explains how to use systems of equations to solve word problems. They use the example of buying gummy bears and chocolate at a store to demonstrate the process.
Curated Video
Molecular Orbital Theory
It describes linear combination of atomic orbitals, conditions for combination of atomic orbitals, types of molecular orbitals and energy level diagram.
Brian McLogan
Master Determining the magnitude of a vector
Master Determining the magnitude of a vector
Looking Glass Universe
Matrices make sense: Linear transformations and matrix multiplication
Matrices are often presented as a useful bookkeeping/ commutation tools to students- but there's much more to them. When you understand what a Matrix really is so many parts of Linear Algebra will be completely obvious to you, including...
Brian McLogan
Finding the dot product of two vectors
Learn how to determine the dot product of vectors. The dot product of two vectors also called the scalar product of the vectors is the sum of the product of the components of the vectors in each direction. When the magnitudes of the...
Looking Glass Universe
Vectors make sense - Vector addition and basis vectors
Vectors may seem very difficult when youre first introduced to them, but I hope this video helps you see theyre not that scary! This is the start of a whole series of linear algebra, and I will cover vectors, the scalar product,...
Khan Academy
Khan Academy: Linear Algebra: Span and Linear Independence Example
Video shows an example of proving that a particular linear combination of 3 vectors in R3 spans R3. Relates this to linearly independent and linearly dependent vectors. [16:53]
Khan Academy
Khan Academy: Linear Algebra: More on Linear Independence
Video expands the examples of linearly independent and linearly dependent vectors shown in the previous video to give a formal definition of linearly dependent vectors. Shows a proof of the definition and then gives an example of using...
Khan Academy
Khan Academy: Linear Algebra: Introduction to Linear Independence
Video explains what linearly dependent vectors and linearly independent vectors are. Shows visual representations to help explain the concept and relates it to the span of the linear combination of the vectors. [15:46]
Khan Academy
Khan Academy: Algebra: Addition Elimination Method 2
This video demonstrates how to solve a system of linear equations using the linear combination and elimination method. [4:25]
Khan Academy
Khan Academy: Algebra: Addition Elimination Method 3
This video demonstrates how to solve a system of linear equations using the linear combination elimination method. Results in a dependent system. [5:05]