Search for tag: "variance"

dapr2(20-21)15.1

Lect29a

From  Leonidas Doumas on February 7th, 2021 0 likes 167 plays 0  

FDS-S2-03-1-3 Large sample theory of A/B testing

We work through how to apply large-sample theory to A/B testing.

From  David Sterratt on January 28th, 2021 0 likes 117 plays 0  

FDS-S2-01-2-7 Bootstrap confidence intervals

We introduce the bootstrap method of estimating confidence intervals

From  David Sterratt on January 15th, 2021 0 likes 134 plays 0  

FDS-S2-01-2-3 Standard error

We introduce the standard error of an estimator and, in particular, the standard error of the mean.

From  David Sterratt on January 14th, 2021 0 likes 161 plays 0  

FDS-S2-01-2-2 Bias and variance

We'll introduce the concept of bias and variance of estimators.

From  David Sterratt on January 14th, 2021 0 likes 172 plays 0  

Intro to Piazza Discussion Forum

A quick introduction to Piazza

From  Umberto Noe on January 6th, 2021 0 likes 186 plays 0  

Likely instabilities in liquid crystal elastomers - Angela Mihai

Continuum Mechanics Seminar Series Angela Mihai (Cardiff University) Likely instabilities in liquid crystal elastomers Friday 18 December 2020 An automated programme is used to generate the subtitles…

From  GILLIAN KERR on December 18th, 2020 0 likes 31 plays 0  

USMR lecture 10 part 1

ANOVA vs GLM

From  Martin Corley on November 27th, 2020 0 likes 116 plays 0  

USMR lecture 9 part 2

probability, odds, log odds

From  Martin Corley on November 15th, 2020 0 likes 150 plays 0  

USMR lecture 7 part 3

multiple regression

From  Martin Corley on November 1st, 2020 0 likes 176 plays 0  

MLP Lecture 06 - Clip 02 - Weight Initialization

Machine Learning Practical (MLP) Lecture 06, Clip 02 / 05.

From  Pavlos Andreadis on October 24th, 2020 1 likes 189 plays 0  

USMR lecture 6 part 2

The linear model: coefficients, R^2, F

From  Martin Corley on October 22nd, 2020 0 likes 175 plays 0  

Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6)

In this video, the question of measuring and quantifying the performance of an estimator is discussed. The video focusses on the concepts and definitions of bias and variance of the probability…

From  James Hopgood on October 22nd, 2020 0 likes 95 plays 0  

Samples and Sampling - slide 14 Sampling error

samples srodgers

From  Sheila Rodgers on October 5th, 2020 0 likes 48 plays 0  

Unsupervised Learning

Unsupervised Learning

From  Dimitrios Doudesis on June 8th, 2020 0 likes 77 plays 0  

Why we still need to talk about diversity in Physics - Dr. Jess Wade

Dr. Jess Wade is a physicist who, alongside being a postdoc researcher at Imperial College London in plastic electronics, campaigns tirelessly to increase diversity in physics. One of Nature's…

From  Ewan McAndrew on January 30th, 2019 2 likes 376 plays 0