Determine the Kernel of a Linear Transformation Given a Matrix (R3, x to 0)
This video explains how to determine the kernel of a linear transformation.
From playlist Kernel and Image of Linear Transformation
Gilles Pagès: Optimal vector Quantization: from signal processing to clustering and ...
Abstract: Optimal vector quantization has been originally introduced in Signal processing as a discretization method of random signals, leading to an optimal trade-off between the speed of transmission and the quality of the transmitted signal. In machine learning, similar methods applied
From playlist Probability and Statistics
Concept Check: Describe the Kernel of a Linear Transformation (Projection onto y=x)
This video explains how to describe the kernel of a linear transformation that is a projection onto the line y = x.
From playlist Kernel and Image of Linear Transformation
Determine a Basis for the Kernel of a Matrix Transformation (3 by 4)
This video explains how to determine a basis for the kernel of a matrix transformation.
From playlist Kernel and Image of Linear Transformation
Introduction to the Kernel and Image of a Linear Transformation
This video introduced the topics of kernel and image of a linear transformation.
From playlist Kernel and Image of Linear Transformation
Applied Machine Learning 2019 - Lecture 14 - Dimensionality Reduction
Principal Component Analysis, Linear Discriminant Analysis, Manifold Learning, T-SNE Slides and more materials are on the class website: https://www.cs.columbia.edu/~amueller/comsw4995s19/schedule/
From playlist Applied Machine Learning - Spring 2019
Lesson 12: Deep Learning Part 2 2018 - Generative Adversarial Networks (GANs)
NB: Please go to http://course.fast.ai/part2.html to view this video since there is important updated information there. If you have questions, use the forums at http://forums.fast.ai. We start today with a deep dive into the DarkNet architecture used in YOLOv3, and use it to better under
From playlist Cutting Edge Deep Learning for Coders 2
I introduce the Bergman kernel of a domain and study its first properties. For more on this topic see Chapter 1.4 of Krantz's "Function theory of several complex variables."
From playlist Several Complex Variables
On support localisation, the Fisher metric and optimal sampling .. - Poon - Workshop 1 - CEB T1 2019
Poon (University of Bath/Cambridge) / 06.02.2019 On support localisation, the Fisher metric and optimal sampling in off-the-grid sparse regularisation Sparse regularization is a central technique for both machine learning and imaging sciences. Existing performance guarantees assume a se
From playlist 2019 - T1 - The Mathematics of Imaging
Applied ML 2020 - 13 - Dimensionality reduction
PCA, linear discriminant analysis, manifold learning
From playlist Applied Machine Learning 2020
Peng Chen: "Projected Stein variational methods for high-dimensional Bayesian inversion"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "Projected Stein variational methods for high-dimensional Bayesian inversion constrained by large-scale PDEs" Peng Chen - University of Texas at Austin Abstract: In this talk, I wi
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Linear Transformation: Which Vectors are in the Range of T and the Kernel of T?
This video explains how to determine if a given vector in the range / image and the kernel of linear transformation.
From playlist Kernel and Image of Linear Transformation
Find the Kernel of a Matrix Transformation (Give Direction Vector)
This video explains how to determine direction vector a line that represents for the kernel of a matrix transformation
From playlist Kernel and Image of Linear Transformation
Estelle Basor: Toeplitz determinants, Painlevé equations, and special functions. Part I - Lecture 3
Title: Toeplitz determinants, Painlevé equations, and special functions. Part I: an operator approach - Lecture 3 Abstract: These lectures will focus on understanding properties of classical operators and their connections to other important areas of mathematics. Perhaps the simplest exam
From playlist Analysis and its Applications
Concept Check: Describe the Kernel of a Linear Transformation (Reflection Across y-axis)
This video explains how to describe the kernel of a linear transformation that is a reflection across the y-axis.
From playlist Kernel and Image of Linear Transformation