Regression analysis | Matrices
In statistics, the projection matrix , sometimes also called the influence matrix or hat matrix , maps the vector of response values (dependent variable values) to the vector of fitted values (or predicted values). It describes the influence each response value has on each fitted value. The diagonal elements of the projection matrix are the leverages, which describe the influence each response value has on the fitted value for that same observation. (Wikipedia).
This video explains how to determine the projection of one vector onto another vector. http://mathispower4u.yolasite.com/
From playlist Vectors
What is the projection of one vector on another one and how is it useful? Free ebook https://bookboon.com/en/introduction-to-vectors-ebook (updated link) Test your understanding via a short quiz http://goo.gl/forms/CpZUX1mFLS
From playlist Introduction to Vectors
What is a matrix? Free ebook http://tinyurl.com/EngMathYT
From playlist Intro to Matrices
Ex: Vector Projection in Three Dimensions
This video explains how to determine the projection of one vector onto another vector in three dimensions. Site: http://mathispower4u.com
From playlist Vectors in Space (3D)
Recordings of the corresponding course on Coursera. If you are interested in exercises and/or a certificate, have a look here: https://www.coursera.org/learn/pca-machine-learning
From playlist Projections
Ex: Vector Projection in Two Dimensions
This video explains how to determine the projection of one vector onto another vector in two dimensions. Site: http://mathispower4u.com
From playlist Applications of Vectors
Multivariable Calculus | The projection of a vector.
We define the projection of a vector in a certain direction. As an application we decompose a vector into the sum of a parallel and orthogonal component. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Vectors for Multivariable Calculus
Projections (video 5): Example N-dimensional Projections
Recordings of the corresponding course on Coursera. If you are interested in exercises and/or a certificate, have a look here: https://www.coursera.org/learn/pca-machine-learning
From playlist Projections
Projections (video 4): N-dimensional projections
Recordings of the corresponding course on Coursera. If you are interested in exercises and/or a certificate, have a look here: https://www.coursera.org/learn/pca-machine-learning
From playlist Projections
15. Projections onto Subspaces
MIT 18.06 Linear Algebra, Spring 2005 Instructor: Gilbert Strang View the complete course: http://ocw.mit.edu/18-06S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8 15. Projections onto Subspaces License: Creative Commons BY-NC-SA More information at https://
From playlist MIT 18.06 Linear Algebra, Spring 2005
Live Stream #148.1: 3D Rendering Basics
Drawing 3D shapes on 2D canvas. 🎥 Part 2: https://youtu.be/M_YNwb7UudI 7:53 - Matrix Multiplication 54:45 - Coding Challenge: Cube Projected on 2D Screen 🔗 Matrix Multiplication: http://matrixmultiplication.xyz 🔗 Rotation Matrix on Wikipedia: https://en.wikipedia.org/wiki/Rotation_matri
From playlist Live Stream Archive
30. Linear Transformations and Their Matrices
MIT 18.06 Linear Algebra, Spring 2005 Instructor: Gilbert Strang View the complete course: http://ocw.mit.edu/18-06S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8 30. Linear Transformations and Their Matrices License: Creative Commons BY-NC-SA More informat
From playlist MIT 18.06 Linear Algebra, Spring 2005
Another example of a projection matrix | Linear Algebra | Khan Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/linear-algebra/alternate-bases/orthogonal-projections/v/lin-alg-another-example-of-a-projection-matrix Figuring out the transformation matrix for a projection onto
From playlist Alternate coordinate systems (bases) | Linear Algebra | Khan Academy
MIT 18.06 Linear Algebra, Spring 2005 Instructor: Gilbert Strang View the complete course: http://ocw.mit.edu/18-06S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8 24b. Quiz 2 Review License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/
From playlist MIT 18.06 Linear Algebra, Spring 2005
OpenGL - model transform and projection
Code samples derived from work by Joey de Vries, @joeydevries, author of https://learnopengl.com/ All code samples, unless explicitly stated otherwise, are licensed under the terms of the CC BY-NC 4.0 license as published by Creative Commons, either version 4 of the License, or (at your o
From playlist OpenGL
Linformer: Self-Attention with Linear Complexity (Paper Explained)
Transformers are notoriously resource-intensive because their self-attention mechanism requires a squared number of memory and computations in the length of the input sequence. The Linformer Model gets around that by using the fact that often, the actual information in the attention matrix
From playlist Papers Explained
17. Orthogonal Matrices and Gram-Schmidt
MIT 18.06 Linear Algebra, Spring 2005 Instructor: Gilbert Strang View the complete course: http://ocw.mit.edu/18-06S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8 17. Orthogonal Matrices and Gram-Schmidt License: Creative Commons BY-NC-SA More information a
From playlist MIT 18.06 Linear Algebra, Spring 2005
Coding Challenge #112: 3D Rendering with Rotation and Projection
In this coding challenge I render a 3D object (cube) in 2D using rotation and projection matrices in Processing (Java). 💻Challenge: https://thecodingtrain.com/CodingChallenges/112-3d-rendering.html Links discussed in this challenge: 🔗 Matrix Multiplication: http://matrixmultiplication.xy
From playlist Coding Challenges