Probabilistic model 5: summary of assumptions
[http://bit.ly/BM-25] The summary of 7 assumptions made in the probabilistic model of IR, and why really need to make them. What assumptions can we relax?
From playlist Probabilistic Model of IR
GeoGebra 3D Calculator: When to Use?
GeoGebra 3D Calculator is one of the five apps in Calculator Suite. https://www.geogebra.org/calculator
From playlist GeoGebra Apps Intro: Which to USE?
From playlist everything
The Conservative Paradox and Median Justice Location
How Mathematica: (1) establishes the existence of an unexpected phenomenon in a dataset (Supreme Court Database); (2) combines this dataset with a different one (Martin & Quinn, justice's ideal points estimates); (3) explores alternative ways that 5-member coalitions may form based on ideo
From playlist Wolfram Technology Conference 2021
Getting Started with GeoGebra Augmented Reality
Here's a quick screencast that illustrates how you can use GeoGebra Augmented Reality to model every-day, real-life, 3D objects. In addition, we'll take a virtual exploration of the 4 main conic section types (circle, parabola, ellipse, hyperbola).
From playlist GeoGebra Augmented Reality Demos (Older iOS App)
From playlist IR17 Probabilistic Model of IR
State of growth of Indian states by Debajit Jha
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
GeoGebra 3D Calculator with Augmented Reality: Another Quick Demo
It’s nice to be able to model this WITHOUT having to remember complicated parametric equations (like here: 1/4 torus). T/Y #GeoGebra for making it MUCH EASIER to spin circles (& other OBJS) about lines! 🙂 More info: geogebra.org/m/depfgppe. #ITeachMath #math #3d #AugmentedReality
From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas
Statistical Rethinking Fall 2017 - week07 lecture12
Week 07, lecture 12 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapter 10. Slides are available here: https://speakerdeck.com/rmcelreath Additional information on textbook and R package here: http://xce
From playlist Statistical Rethinking Fall 2017
Matthew Gillman – The Arc of Fetal, Developmental and Adult Health: Stanford Childx Conference
Matthew Gillman discusses the developmental origins of heart disease at the inaugural Childx Conference, 2015. Childx is a dynamic, TED-style conference designed to inspire innovation that improves pediatric and maternal health. Visit our website at http://childx.stanford.edu/.
From playlist Stanford Childx Conference 2015: Keynotes
Modeling with Trigonometric Functions! (Formative Assessment w/Feedback)
Link: https://www.geogebra.org/m/cuCwguXP BGM: Simeon Smith
From playlist Trigonometry: Dynamic Interactives!
Statistical Rethinking - Lecture 15
Lecture 15 - Ordered logit models (Monsters & Mixtures) - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Precalculus: Logarithm Rules Pt. 1
In this video, Kelsey reviews the Product and Quotient Rules for logarithms. Examples of the product and quotient rules are at the start of part 2!
From playlist Basics: Precalculus
Willem van den Boom - Bayesian Learning of Graph Substructures
Willem van den Boom (National University of Singapore) presents "Bayesian Learning of Graph Substructures, 5 August 2022.
From playlist Statistics Across Campuses
Data Science - Part XV - MARS, Logistic Regression, & Survival Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview on extending the regression concepts brought forth in previous lectures. We wi
From playlist Data Science
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2016 I am so excited to show you our new effect size scripts! You enter the basic statistics you have from your output, and these scripts will calculate your test statistic, p values, confidence interval for the mean, effect
From playlist Advanced Statistics Videos
SICSS 2017 - Computer-Administered Interviews and Wiki Surveys (Day 4. June 22, 2017)
The first Summer Institute in Computational Social Science was held at Princeton University from June 18 to July 1, 2017, sponsored by the Russell Sage Foundation. For more details, please visit https://compsocialscience.github.io/summer-institute/2017/
From playlist SICSS 2017 - Surveys (6/22)
EEVblog #149 - Agilent Infiniivision 3000 X Series Oscilloscope Review
Dave reviews the big brother to the new 2000 series Agilent Infiniivision scope, the 3000 series. What are the differences?
From playlist Agilent Oscilloscopes
(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