From playlist Coursera Regression V2
Intro to Linear Systems: 2 Equations, 2 Unknowns - Dr Chris Tisdell Live Stream
Free ebook http://tinyurl.com/EngMathYT Basic introduction to linear systems. We discuss the case with 2 equations and 2 unknowns. A linear system is a mathematical model of a system based on the use of a linear operator. Linear systems typically exhibit features and properties that ar
From playlist Intro to Linear Systems
(ML 9.2) Linear regression - Definition & Motivation
Linear regression arises naturally from a sequence of simple choices: discriminative model, Gaussian distributions, and linear functions. A playlist of these Machine Learning videos is available here: http://www.youtube.com/view_play_list?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
Simple Linear Regression Formula, Visualized | Ch.1
In this video, I will guide you through a really beautiful way to visualize the formula for the slope, beta, in simple linear regression. In the next few chapters, I will explain the regression problem in the context of linear algebra, and visualize linear algebra concepts like least squa
From playlist From Linear Regression to Linear Algebra
(ML 13.6) Graphical model for Bayesian linear regression
As an example, we write down the graphical model for Bayesian linear regression. We introduce the "plate notation", and the convention of shading random variables which are being conditioned on.
From playlist Machine Learning
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
(ML 9.1) Linear regression - Nonlinearity via basis functions
Introduction to linear regression. Basis functions can be used to capture nonlinearities in the input variable. A playlist of these Machine Learning videos is available here: http://www.youtube.com/view_play_list?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
3 Ways to Build a Model for Control System Design | Understanding PID Control, Part 5
Tuning a PID controller requires that you have a representation of the system you’re trying to control. This could be the physical hardware or a mathematical representation of that hardware. If you have physical hardware, you could guess at some PID gains, run a test to see how it perfor
From playlist Understanding PID Control
Statistical Rethinking 2022 Lecture 03 - Geocentric Models
Linear regression from a Bayesian perspective Slides and course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music Intro: https://www.youtube.com/watch?v=4y33h81phKU Flow: https://www.youtube.com/watch?v=ip4n8zaTg1w Pause: https://www.youtube.com/watch?v=1f-NQAgm-YM Cha
From playlist Statistical Rethinking 2022
Efficient Zero Knowledge Proofs - A Modular Approach (Lecture 2) by Yuval Ishai
DISCUSSION MEETING : FOUNDATIONAL ASPECTS OF BLOCKCHAIN TECHNOLOGY ORGANIZERS : Pandu Rangan Chandrasekaran DATE : 15 to 17 January 2020 VENUE : Madhava Lecture Hall, ICTS, Bangalore Blockchain technology is among one of the most influential disruptive technologies of the current decade.
From playlist Foundational Aspects of Blockchain Technology 2020
EXTRA MATH 11D: Extended regression modelling: Multiple input, non-linear relations and categorical/
Forelæsning med Per B. Brockhoff. Kapitler: 00:00 - Linear; 06:40 - Non-Linear; 09:00 - Non-Linear Regression; 11:25 - Models For Categorical Data;
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Statistical Rethinking - Lecture 13
Lecture 13 - Generalized Linear Models (intro) - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
On the Use of (Linear) Surrogate Models for Bayesian Inverse Problems
42nd Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk Date: Wednesday, April 13, 10:00am Eastern Speaker: Ru Nicholson, University of Auckland Abstract: In this talk we consider the use of surrogate (forward) models to efficiently solve Bayesian inverse pr
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
Mod-01 Lec-01 Introduction and Overview
Advanced Numerical Analysis by Prof. Sachin C. Patwardhan,Department of Chemical Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Bombay: Advanced Numerical Analysis | CosmoLearning.org
How to Visualize a Bode Plot of a Simulink Model
Learn how to visualize the Bode response of a Simulink® Model during simulation. Watch the steps involved in generating a Bode plot of a water tank system using the Model Linearizer app in Simulink. - Linearize Simulink Model at Model Operating Point: https://bit.ly/3TSroQv - Understandin
From playlist “How To” with MATLAB and Simulink
10g Machine Learning: Isotonic Regression
Lecture on isotonic regression. Introduces the idea of a piece-wise linear model with monotonic constraint. Follow along with the demonstration workflow: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_IsotonicRegression.ipynb
From playlist Machine Learning
Statistical Learning: 7.4 Generalized Additive Models and Local Regression
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