Uploaded May 2025 | Updated September 2026, 2 weeks ago
Here we introduce the Chi-squared distribution, which is the distribution of Z=X^2 when X is a Gaussian random variable. Chi squared will be very useful when comparing two distributions in statistics to see if data is consistent with a given distribution.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
01:20 The Chi Squared Distribution
02:40 Calculating the CDF of Chi Squared
06:08 Calculating the PDF of Chi Squared
11:54 Outro
Here we introduce the Chi-squared distribution, which is the distribution of Z=X^2 when X is a Gaussian random variable. Chi squared will be very useful when comparing two distributions in statistics to see if data is consistent with a given distribution.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
01:20 The Chi Squared Distribution
02:40 Calculating the CDF of Chi Squared
06:08 Calculating the PDF of Chi Squared
11:54 Outro
![Neural ODEs (NODEs) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/nJphsM4obOk/mqdefault.jpg "Neural ODEs (NODEs) [Physics Informed Machine Learning]
This video describes Neural ODEs, a powerful machine learning approach to learn ODEs from data.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
%%% CHAPTERS %%%
00:00 Intro
02:09 Background: ResNet
05:05 From ResNet to ODE
07:59 ODE Essential Insight/ Why ODE outperforms ResNet
// 09:05 ODE Essential Insight Rephrase 1
// 09:54 ODE Essential Insight Rephrase 2
11:11 ODE Performance vs ResNet Performance
12:52 ODE extension: HNNs
14:03 ODE extension: LNNs
14:45 ODE algorithm overview/ ODEs and Adjoint Calculation
22:24 Outro")
