Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Activity-Linear Algebra Module Python
In this video, we will cover activity-linear algebra module Python. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
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
APMonitor
Solve Linear Equations with MATLAB
MATLAB is used to solve a set of linear equations (Ax=b) by inverting the matrix A and multiplying by the b vector. Three ways to solve A*x=b are: x = inv(A)*b % good x = A\b % better x = linsolve(A,b) % best See...
msvgo
Transpose of a Matrix
It defines the transpose of a matrix. Further it states properties of transpose of a matrix.
msvgo
Symmetric and Skew Symmetric Matrices
It defines symmetric and skew symmetric matrices and states important theorems based on it.
Professor Dave Explains
Types of Matrices and Matrix Addition
An overview of the types of matrices and how to perform matrix addition.
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...
FuseSchool
MATHS - Geometry - Intro to Matrices
Chances are, you have heard the word “matrices” in a movie. But do you know what they are or what they are used for? Well, “matrices” is plural of a “matrix”. And you can think about a matrix as just a table of numbers, and that’s...
Professor Dave Explains
Manipulating Matrices: Elementary Row Operations and Gauss-Jordan Elimination
How do perform Gauss-Jordan elimination.
FuseSchool
MATHS - Geometry - Sum and Product of Two Matrices
In our previous video, we have seen what matrices are and how we label them. However, in order to use them efficiently, we must first be able to carry out simple operations with them, which is what we will be exploring in this video.
Professor Dave Explains
Complex, Hermitian, and Unitary Matrices
Defining complex matrices, hermitian matrices, and unitary matrices.
Professor Dave Explains
Understanding Matrices and Matrix Notation
An introduction to matrices and matrix notation
Professor Dave Explains
Evaluating the Determinant of a Matrix
How to find the determinant of a matrix.
Fun Robotics
NumPy Library Part 1
Investigating the NumPy Python library and how to use it efficiently
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,...
Getty Images
Small green matrices fall in front of a black background.
Small green matrices fall in front of a black background.
Getty Images
Shiny matrices fall in front of a black background.
Shiny matrices fall in front of a black background.
Getty Images
Matrices of data flow along all sides of a tunnel.
Matrices of data flow along all sides of a tunnel.
Getty Images
Blue matrices of data stream through a tunnel.
Blue matrices of data stream through a tunnel.