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QCTiP24 Day 2.2 - E.Fuster v2

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From  Ramin Jafarzadegan 0 likes 4 plays 0  

Producing a thesis or dissertation using Word - part 2 (Windows)

A recording of the second demonstration of the Digital Skills & Training Team's "Producing a thesis or dissertation using Word" course. This demonstration, using Word 2021 for…

From  Catherine Koppe 0 likes 36 plays 0  

Producing a thesis or dissertation using Word - part 2 (Mac)

A recording of the second demonstration of the Digital Skills & Training Team's "Producing a thesis or dissertation using Word" course. This demonstration, using Word for Mac…

From  Catherine Koppe 0 likes 88 plays 0  

AML: Evaluation - Classification

Applied Machine Learning - INFR11211 AML: Evaluation - Classification Part 1/2

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From  Siddharth N 1 likes 794 plays 0  

Bulk data item creation using OpenRefine - tutorial by Maggie Lin

Bulk data item creation using OpenRefine - tutorial by Maggie Lin. OpenRefineOpenRefine (openrefine.org) is an open-source desktop application for data cleanup and transformation to other formats,…

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From  Ewan McAndrew 0 likes 86 plays 0  

DDC Session 5 Recording

Recording of session 5 (plotting) of data-driven chemistry 2021-22.

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From  James Cumby 0 likes 48 plays 0  

Target Detection and Recognition of Ground Penetrating Radar using Morphological Image Analysis and Graph Laplacian Regularisation - Jun Dong

SSPD 2021 Poster Lightning Presentation SessionPresenter: Jun DongPoster Title: Target Detection and Recognition of Ground Penetrating Radar using Morphological Image Analysis and Graph Laplacian…

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From  Joe Burchell 0 likes 11 plays 0  

Using variables in Xerte

Using variables in Xerte

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From  Alison Christie 1 likes 59 plays 0  

Saat Mubarrok EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Saat Mubarrok Talk Title: Annual Maximum Precipitation in Indonesia linked to Climate Variability: Extreme…

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From  Anna Munro 0 likes 20 plays 0  

ASR Lecture 10 (part 2); Lecture 11

ASR Lecture 10 (part 2): Neural network models (1); ASR Lecture 11: Neural network models (2)

From  Peter Bell 0 likes 110 plays 0  

MLP Interviews - Leonie Bossemeyer

Machine Learning Practical interviews - Winter 2020 - Session 2/4. Leonie Bossmeyer is an MSc graduate in Data Science at the University of Edinburgh, and is currently an MSc student in Quantitative…

From  Pavlos Andreadis 1 likes 88 plays 0  

CL - 14e - DFA (II)

We look at the representation of DFA in Haskell (using lists to represent the sets of the formal definition).In this video the code isDFA is defining what counts as a DFA when we use the black-hole…

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From  Haoran Peng 0 likes 189 plays 0  

ML7: Logistic Classification

Here, we introduce a logistic classifier and cover how it differs from a linear classifier. Then, we show how its parameters can be learnt by minimising the cross-entropy loss. Finally, we visualise…

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From  Elliot Crowley 0 likes 44 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…

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From  Elliot Crowley 0 likes 46 plays 0  

IDS - Week 04 - 06 - AE: Hotels + data types

Application exercise walkthrough: Hotels + data types

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From  Mine Cetinkaya-Rundel 0 likes 39 plays 0  

IDS - Week 03 - 07 - AE: Hotels + Data wrangling

Working through AE 04: Hotels + Data wrangling

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From  Mine Cetinkaya-Rundel 0 likes 57 plays 0