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 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
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
B27 Introduction to linear models
Now that we finally now some techniques to solve simple differential equations, let's apply them to some real-world problems.
From playlist Differential Equations
Regression Trees, Clearly Explained!!!
Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, are based on. They are useful for times when there isn't an obviously linear relationship between what you want to predict, and the things you are using to make the p
From playlist StatQuest
Linear Regression using Python
This seminar series looks at four important linear models (linear regression, analysis of variance, analysis of covariance, and logistic regression). A video that explains all four model types is at https://www.youtube.com/watch?v=SV9AxXFWZnM&t=12s This video is on linear regression usin
From playlist Statistics
Logistic Regression Details Pt1: Coefficients
When you do logistic regression you have to make sense of the coefficients. These are based on the log(odds) and log(odds ratio), but, to be honest, the easiest way to make sense of these are through examples. In this StatQuest, I walk you though two Logistic Regression Examples, step-by-s
From playlist StatQuest
(ML 13.3) Directed graphical models - formalism (part 1)
Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.
From playlist Machine Learning
Paper Read Aloud: Fool Me Twice: Entailment from Wikipedia Gamification
I'm reading a paper out loud from start to finish! Read the whole paper here: http://users.umiacs.umd.edu/~jbg//docs/2021_naacl_fm2.pdf Research talk: https://youtu.be/JSI1zTsCFTo Code and data: https://github.com/google-research/fool-me-twice
From playlist Papers Read Aloud
Strata 2013: Sasha Issenberg, "The Victory Lab"
http://strataconf.com/ Nerds crash the gates of a venerable American institution, shoving aside its so-called wise men and replacing them with a radical new data-driven order. We've seen it in sports, and now in The Victory Lab- which Politico has described as "Moneyball for politics"- Sas
From playlist Strata Conference 2013 (Santa Clara, CA)
Mod-03 Lec-18 Electoral Competition 1
Game Theory and Economics by Dr. Debarshi Das, Department of Humanities and Social Sciences, IIT Guwahati. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Game Theory and Economics | CosmoLearning.org Economics
Mod-03 Lec-20 Hotelling Model: Concluding Remarks
Game Theory and Economics by Dr. Debarshi Das, Department of Humanities and Social Sciences, IIT Guwahati. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Game Theory and Economics | CosmoLearning.org Economics
Courses - R. SUN "Brownian web, Brownian net, and their universality"
The Brownian web is the collection of one-dimensional coalescing Brownian motions starting from every point in space-time. Originally conceived by Arratia in the context of the one-dimensional voter model and its dual coalescing random walks, the Brownian web has since been shown to arise
From playlist T1-2015 : Disordered systems, random spatial processes and some applications
This is lesson 26 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below: Intro to R: ANOVA https://www.kaggle.com/hamelg/intro-to-r-part-26-ANOVA This lesson covers the ANOVA test for comparing whether the mean
From playlist Introduction to R
Milan Svolik: Polarization and the Subversion of Democracy in Latin America
Professor Svolik has authored and co-authored articles on the politics of authoritarian regimes and democratization in leading political science journals, including the "American Political Science Review," the "American Journal of Political Science", and the "Journal of Politics." He is th
From playlist The MacMillan Report
Mod-03 Lec-19 Different Aspects of Hotelling Model
Game Theory and Economics by Dr. Debarshi Das, Department of Humanities and Social Sciences, IIT Guwahati. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Game Theory and Economics | CosmoLearning.org Economics
3. Iterative deletion and the median-voter theorem
Game Theory (ECON 159) We apply the main idea from last time, iterative deletion of dominated strategies, to analyze an election where candidates can choose their policy positions. We then consider how good is this classic model as a description of the real political process, and how we m
From playlist Game Theory with Ben Polak
ISPS DEMOCRACY SERIES: “The 2022 Midterm Elections: What Happened and Why?”
A panel of political experts discuss voting patterns in the 2022 midterm elections that offer valuable insights and lessons at all levels of government and for the current state of our democracy. Moderated by ISPS Director Alan Gerber, the panel focuses on understanding what political beha
From playlist The Institution for Social and Policy Studies (ISPS)
Introduces notation and formulas for exponential growth models, with solutions to guided problems.
From playlist Discrete Math