Clustering Coefficient - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Estimate the Correlation Coefficient Given a Scatter Plot
This video explains how to estimate the correlation coefficient given a scatter plot.
From playlist Performing Linear Regression and Correlation
Covariance (8 of 17) What is the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn what is and how to find the correlation coefficient of 2 data sets and see how it corresponds to the graph of the data
From playlist COVARIANCE AND VARIANCE
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE
Covariance (12 of 17) Covariance Matrix wth 3 Data Sets and Correlation Coefficients
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the correlation coefficients of the 3 data sets form the previous 2 videos. Next video in this series can be seen at:
From playlist COVARIANCE AND VARIANCE
Physics - Fluid Dynamics (19 of 32) The Drag Coefficient
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain how different shaped objects have different drag coefficients. Next video in this series can be seen at: http://youtu.be/5IcpUjIo7jM
From playlist PHYSICS 34 FLUID DYNAMICS
Covariance (14 of 17) Covariance Matrix "Normalized" - Correlation Coefficient
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the “normalized” matrix (or the correlation coefficients) from the covariance matrix from the previous video using 3 sa
From playlist COVARIANCE AND VARIANCE
Covariance (9 of 17) What is the Correlation Coefficient?
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will calculate the correlation coefficients of 2 separate 2 data sets and graph the 2 graphs and see how the graphs corresponds t
From playlist COVARIANCE AND VARIANCE
Eulerianity of Fourier coefficients of automorphic forms - Henrik Gustafsson
Joint IAS/Princeton University Number Theory Seminar Topic: Eulerianity of Fourier coefficients of automorphic forms Speaker: Henrik Gustafsson Affiliation: Member, School of Mathematics Date: April 30, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Fourier coefficients of automorphic forms - Henrik Gustafsson
Short talks by postdoctoral members Topic: Fourier coefficients of automorphic forms Speaker: Henrik Gustafsson Affiliation: Member, School of Mathematics Date: September 25 For more video please visit http://video.ias.edu
From playlist Mathematics
Introduction to Polynomials (TTP Video 64)
https://www.patreon.com/ProfessorLeonard An explanation of the creation of polynomials and some of there properties.
From playlist To The Point Math (TTP Videos)
Emmanuel Candès: Wavelets, sparsity and its consequences
Abstract: Soon after they were introduced, it was realized that wavelets offered representations of signals and images of interest that are far more sparse than those offered by more classical representations; for instance, Fourier series. Owing to their increased spatial localization at f
From playlist Abel Lectures
Understanding Wavelets, Part 3: An Example Application of the Discrete Wavelet Transform
This video outlines the steps involved in denoising a signal with the discrete wavelet transform using MATLAB®. •Try Wavelet Toolbox: https://goo.gl/m0ms9d •Ready to Buy: https://goo.gl/sMfoDr Learn how this denoising technique compares with other denoising techniques. Video Transcript:
From playlist Understanding Wavelets
Statistical Learning: 6.6 Shrinkage methods and ridge 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
Charles Weibel: K-theory of algebraic varieties (Lecture 4)
The lecture was held within the framework of the Hausdorff Trimester Program: K-Theory and Related Fields. Lecture 4 will survey computations for regular rings and smooth varieties. This includes motivic-to-K-theory methods, étale cohomology and regulators.
From playlist HIM Lectures: Trimester Program "K-Theory and Related Fields"
Discretization and modelling of the non-cutoff Boltzmann collision operator using Hermite spectral
Zhenning Cai National University of Singapore, Singapore
From playlist 2018 Modeling and Simulation of Interface Dynamics in Fluids/Solids and Their Applications
Introduction to the Coefficient of Friction
Please do not confuse the Coefficient of Friction with the Force of Friction. This video will help you not fall into that Pit of Despair! Want Lecture Notes? http://www.flippingphysics.com/mu-intro.html This is an AP Physics 1 topic. 0:00 The equation for the Force of Friction 0:17 Mu, th
From playlist JEE Physics Unit 3 - Laws of Motion and NEET Unit III - Laws of Motion
Statistics - How to calculate the coefficient of variation
In this video I'll quickly show you how to find the coefficient of variation. There are two formulas for samples and populations, but these are basically the same and involve dividing the standard deviation by the mean and lastly converting to a percent. The coefficient of variation is u
From playlist Statistics