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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
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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
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AML: Evaluation - ClassificationApplied Machine Learning - INFR11211 AML: Evaluation - Classification Part 1/2
From Siddharth N
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Bulk data item creation using OpenRefine - tutorial by Maggie LinBulk 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,…
From Ewan McAndrew
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DDC Session 5 RecordingRecording of session 5 (plotting) of data-driven chemistry 2021-22.
From James Cumby
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Target Detection and Recognition of Ground Penetrating Radar using Morphological Image Analysis and Graph Laplacian Regularisation - Jun DongSSPD 2021 Poster Lightning Presentation SessionPresenter: Jun DongPoster Title: Target Detection and Recognition of Ground Penetrating Radar using Morphological Image Analysis and Graph Laplacian…
From Joe Burchell
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Saat Mubarrok EVA Talk PreviewThis 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…
From Anna Munro
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ASR Lecture 10 (part 2); Lecture 11ASR Lecture 10 (part 2): Neural network models (1); ASR Lecture 11: Neural network models (2)
From Peter Bell
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MLP Interviews - Leonie BossemeyerMachine 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
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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…
From Haoran Peng
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ML7: Logistic ClassificationHere, 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…
From Elliot Crowley
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ML6: Linear ClassificationIn 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
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