Search for tag: "machine learning"
Inaugural Lecture of Professor Sotirios Tsaftaris, Chair in Machine Learning and Computer VisionThe pixel takes it all We are fascinated by how our brain interprets what we see. Emulation of our brain's ability to process visual signals has in turn inspired modern digital engines that…
From Billy Rosendale
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MLP 23-24 Week 10 Live Session - From AI to RLHFMachine Learning Practical 2023-24 Live Lecture session for Week 10 of Semester 1. From Artificial Intelligence to Reinforcement Learning from Human Feedback
From Pavlos Andreadis
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Machine Learning Practical - Week 9 (Live 2022-23)Machine Learning Practical Week 9, Part 1 of 2 on Recurrent Neural Networks. Live lecture from 2022-23.
From Pavlos Andreadis
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Machine learning - the basicsMachine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping…
From Tracy Steinberg
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AI & Storytelling promoA brief overview of the Edinburgh Futures Institute (EFI) course Artificial Intelligence and Storytelling (AIST) delivered by its course organiser Dr. Pavlos Andreadis. for a preview on course…
From Pavlos Andreadis
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[22/23] AI & Storytelling - Invited Lecture: Computer Vision and applications for StorytellingDr. Hakan Bilen [https://www.inf.ed.ac.uk/people/staff/Hakan_Bilen.html], of the School of Informatics, gives an invited talk on Recent Advances in Creative Computer Vision.
From Pavlos Andreadis
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[22/23] AI & Storytelling - Opening LectureThe 2022/23 Opening Lecture recording for the Edinburgh Futures Institute (EFI) course Artificial Intelligence & Storytelling (AIST).
From Pavlos Andreadis
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AML: Further Topics - Active LearningApplied Machine Learning - INFR11211 AML: Further Topics - Active Learning Part 2/2
From Oisin Mac Aodha
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AML: Further Topics - Semi-Supervised LearningApplied Machine Learning - INFR11211 AML: Further Topics - Semi-Supervised Learning Part 1/2
From Oisin Mac Aodha
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MLP Lecture 08 - Clip 05 - Short CNN timelineMachine Learning Practical (MLP) Lecture 08, Clip 05 / 05.
From Pavlos Andreadis
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AML: Non-Linear Dimensionality Reduction - VisualisationApplied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2
From Siddharth N
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AML: Non-Linear Dimensionality Reduction - Extending Linear MethodsApplied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Part 1/2
From Siddharth N
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AML: Clustering - EvaluationApplied Machine Learning - INFR11211 AML: Clustering - Evaluation Part 3/3
From Siddharth N
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AML: Clustering - Hierarchical ClusteringApplied Machine Learning - INFR11211 AML: Clustering - Hierarchical Clustering Part 2/3
From Siddharth N
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AML: Clustering - K-MeansApplied Machine Learning - INFR11211 AML: Clustering - K-Means Part 1/3
From Siddharth N
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