Search for tag: "bias"

Michael Rovatsos - Fairness in the Algorithmic Economy

Controversies in the Data Society 2021Prof Michael Rovatsoshttps://www.wiki.ed.ac.uk/display/CIDS/2021+12+Feb+%3A++Consent+and+Fairness

From  Michael Rovatsos on February 9th, 2021 0 likes 58 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 183 plays 0  

MLP Advanced NN Tutorial 06 - Meta-Learning

Machine Learning Practical advanced tutorial (optional) - Session 6 (Week 12).

From  Pavlos Andreadis on December 11th, 2020 1 likes 28 plays 0  

CL - 15e - RS -- Concatenation

We use ε-transitions to connect two NFA and create a machine that recognises the concatenation of their languges.

From  Haoran Peng on November 23rd, 2020 0 likes 254 plays 0  

12th Nov: Inclusion Really Does Matter: Improving attitudes towards Gender Equality Initiatives among STEM academics

Inclusion Really Does Matter: Improving attitudes towards Gender Equality Initiatives among STEM academics 12th November 2020 Dr Lynn Farrell @LynnTFarrell L.Farrell@qub.ac.uk Queens University…

From  Katie Nicoll Baines on November 12th, 2020 0 likes 19 plays 0  

Visual Methodologies for Public Participatory Work

This event introduces visual methodologies and, in particular, digital visual research that makes use of online data and content to research social issues.Recent contributions to digital visual…

From  Roisin O'Brien on November 11th, 2020 0 likes 45 plays 0  

ML6: Linear Classification

In this video, we are introduced to linear classifiers. These have parameters which weight input features, and output a scalar that is used to assign a point to a class. We learn that these…

From  Elliot Crowley on November 5th, 2020 0 likes 8 plays 0  

IDS - Week 07 - 04 - Algorithmic bias

Bias in, bias out in algorithms that make decisions about humans

From  Mine Cetinkaya-Rundel on November 2nd, 2020 0 likes 20 plays 0  

MLP Lecture 07 - Clip 06 - Multiple Feature Maps

Machine Learning Practical (MLP) Lecture 07, Clip 06 / 09.

From  Pavlos Andreadis on November 2nd, 2020 1 likes 183 plays 0  

Topic 44: Minimum Mean Square Error Estimators (PETARS, Chapter 6)

This video introduces the simple mean square error (MSE) as a criterion which trades-off bias and variance for an estimator. The relationship between the MSE and bias and variance is defined. The…

From  James Hopgood on October 23rd, 2020 0 likes 76 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  

USMR lecture 4 part 2

chisq test of goodness of fit; statistical power

From  Martin Corley on October 4th, 2020 0 likes 199 plays 0  

Week 1 Summary

Applied research skills in environment and society week 1 summary.

From  Gary Watmough on September 25th, 2020 0 likes 33 plays 0  

Lecture 2 Part 7

Lecture 2 Part 7: Disadvantaged groups

From  Anne Templeton on September 10th, 2020 1 likes 151 plays