Point processes | Nonparametric statistics | Time series | Bayesian statistics
The term kernel is used in statistical analysis to refer to a window function. The term "kernel" has several distinct meanings in different branches of statistics. (Wikipedia).
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
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
Kernel Recipes 2022 - Checking your work: validating the kernel by building and testing in CI
The Linux kernel is one of the most complex pieces of software ever written. Being in ring 0, bugs in the kernel are a big problem, so having confidence in the correctness and robustness of the kernel is incredibly important. This is difficult enough for a single version and configuration
From playlist Kernel Recipes 2022
Proof that the Kernel of a Linear Transformation is a Subspace
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Proof that the Kernel of a Linear Transformation is a Subspace
From playlist Proofs
Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics
From playlist Statistics
Calculating the kernel of a matrix - An example
Support the channel on Steady: https://steadyhq.com/en/brightsideofmaths Or support me via PayPal: https://paypal.me/brightmaths Here I present some short calculation for the kernel of a matrix. I apologise for my pronunciation. The focus is on the mathematics and not my English skills :)
From playlist Linear algebra (English)
Select Which Vectors are in the Kernel of a Matrix (2 by 3)
This video explains how to determine which vectors for a list are in the kernel of a matrix.
From playlist Kernel and Image of Linear Transformation
Kernel of a group homomorphism
In this video I introduce the definition of a kernel of a group homomorphism. It is simply the set of all elements in a group that map to the identity element in a second group under the homomorphism. The video also contain the proofs to show that the kernel is a normal subgroup.
From playlist Abstract algebra
Score estimation with infinite-dimensional exponential families – Dougal Sutherland, UCL
Many problems in science and engineering involve an underlying unknown complex process that depends on a large number of parameters. The goal in many applications is to reconstruct, or learn, the unknown process given some direct or indirect observations. Mathematically, such a problem can
From playlist Approximating high dimensional functions
Greg Fasshauer: Some recent insights into computing with positive definite kernels
Abstract: In this talk I will discuss recent joint work with Mike McCourt (SigOpt, San Francisco) that has led to progress on the numerically stable computation of certain quantities of interest when working with positive definite kernels to solve scattered data interpolation (or kriging)
From playlist Numerical Analysis and Scientific Computing
From playlist Contributed talks One World Symposium 2020
Alexander Bufetov: Determinantal point processes - Lecture 2
Abstract: Determinantal point processes arise in a wide range of problems in asymptotic combinatorics, representation theory and mathematical physics, especially the theory of random matrices. While our understanding of determinantal point processes has greatly advanced in the last 20 year
From playlist Probability and Statistics
Nonlinear dimensionality reduction for faster kernel methods in machine learning - Christopher Musco
Computer Science/Discrete Mathematics Seminar I Topic: Nonlinear dimensionality reduction for faster kernel methods in machine learning. Speaker: Christopher Musco Affiliation: Massachusetts Institute of Technology Date: Febuary 12, 2018 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Is Memorization Compatible with Learning? by Sasha Rakhlin
Program Advances in Applied Probability II (ONLINE) ORGANIZERS: Vivek S Borkar (IIT Bombay, India), Sandeep Juneja (TIFR Mumbai, India), Kavita Ramanan (Brown University, Rhode Island), Devavrat Shah (MIT, US) and Piyush Srivastava (TIFR Mumbai, India) DATE: 04 January 2021 to 08 Januar
From playlist Advances in Applied Probability II (Online)
Statistical Rethinking 2022 Lecture 16 - Gaussian Processes
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: https://www.youtube.com/watch?v=uYNzqgU7na4 Music: https://www.youtube.com/watch?v=kXuasY8pDpA Music: https://www.youtube.com/watch?v=eTtTB0nZdL0 Pause: https://www.youtube.com/watch?v=pxPdsqrQByM
From playlist Statistical Rethinking 2022
“The Automatic Statistician”– Professor Zoubin Ghahramani
Talk given by Professor of Information Engineering at the University of Cambridge, leader of the Cambridge Machine Learning Group, and the Cambridge Liaison Director of the Alan Turing Institute; Zoubin Ghahramani. The lecture regards the use of Bayesian model selection strategies that aut
From playlist Turing Seminars
Statistical Learning: 9.3 Feature Expansion and the SVM
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Kernel Recipes 2018 - Knowing the definition of Linux kernel to...- Vaishali Thakkar
Self learning is underrated in the modern era of education. While kernel being the heart of an operating system, traditional universities [in India] are still far away from teaching anything more than the definition of Linux Kernel. The talk will mostly focus on my journey of self learning
From playlist Kernel Recipes 2018
Introduction to R: Getting Started
This is lesson 1 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebooks below: Intro to R Index: https://www.kaggle.com/hamelg/intro-to-r-index Intro to R: Getting Started: https://www.kaggle.com/hamelg/intro-to-r-part
From playlist Introduction to R
