Search for tag: "errors"

S&P Capital IQ: Collection and Standardization

S&P Capital IQ is global company & financial database used in industry and academia. Rachanna Haffner from Capital IQ explains how company financials are sourced, collected, processed and…

From  Catherine Ure on July 11th, 2021 0 likes 1 plays 0  

XAI Lecture Recording: InTrees (Part 1)

This lecture will cover InTrees, which is a model-specific XAI method for tree ensembles.

From  Auste Simkute on July 7th, 2021 0 likes 3 plays 0  

Machine Learning for extremes: Chen Zhou

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Chen Zhou Talk Title: Distributed Inference for Tail Empirical and Quantile…

From  Belle Taylor on June 29th, 2021 0 likes 49 plays 0  

Partial Differential Equations Lecture 9 - Results

Here we look in detail at the results from the test problem and discuss dispersive and dissipative errors.

From  David Ingram on February 16th, 2021 0 likes 35 plays 0  

Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation

5 February 2021Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulationThere…

From  OLLIE Quinn on February 11th, 2021 0 likes 22 plays 0  

FDS-S2-02-4 Issues in hypothesis testing

We consider 3 issues in hypothesis testing: Type I and Type II errors; cherry-picking, p-value hacking etc., and a short discussion about the possibility that hypothesis-driven research can hinder…

From  David Sterratt on January 18th, 2021 0 likes 157 plays 0  

FDS-S2-01-2-8 Interpretation of confidence intervals

We'll consider two aspects of the interpretation of confidence intervals

From  David Sterratt on January 15th, 2021 0 likes 153 plays 0  

FDS-S2-01-2-4 Principle of confidence intervals

Here we introduce the principle of confidence intervals graphically.

From  David Sterratt on January 14th, 2021 0 likes 201 plays 0  

Desmond Higham 16 November Should We Be Perturbed About Deep Learning

ICMS OWNA An automated programme has been used to generate the subtitles on this talk.

From  OLLIE Quinn on November 16th, 2020 0 likes 293 plays 0  

CL - 7h - Some Haskell remarks

In this video we give an example showing how Haskell's types can help us to avoid confusions.We then discuss the types of the Boolean operations lifted to predicates, and show how…

From  Haoran Peng on November 1st, 2020 0 likes 237 plays 0  

T1_1_Automated_Testing

In this lecture we discuss why software testing is important and why automated testing should be used in conjunction with manual testing.

From  Evgenij Belikov on October 6th, 2020 1 likes 74 plays 1  

Language Production Lecture 2 Part 5

Speech errors

From  Martin Pickering on September 24th, 2020 0 likes 38 plays 0  

Language Production Lecture 2 Part 4

Speech errors

From  Martin Pickering on September 17th, 2020 0 likes 42 plays 0  

Language Production Lecture 1 Part 3

Overview of model, speech errors

From  Martin Pickering on September 16th, 2020 0 likes 58 plays 0  

Language Production Lecture 1 Part 2

Disfluency, methods

From  Martin Pickering on September 16th, 2020 0 likes 90 plays 0  

Language Production Lecture 1 Part 1

Introduction

From  Martin Pickering on September 16th, 2020 0 likes 114 plays 0