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AML: Generalisation - Measuring Generalisation

Applied Machine Learning - INFR11211 AML: Generalisation - Measuring Generalisation Part 2/3

From  Siddharth N 3 likes 472 plays 0  

AML: Generalisation - What is it?

Applied Machine Learning - INFR11211 AML: Generalisation - What is it? Part 1/3

From  Siddharth N 3 likes 385 plays 0  

Clement Dombry EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Clement Dombry Talk Title: Gradient boosting for extreme quantile regression Abstract: Extreme quantile…

From  Anna Munro 0 likes 46 plays 0  

Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach.

26 February 2021 Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach. Gaussian processes (GPs) are frequently used in…

From  Greg McCracken 0 likes 48 plays 0  

ML5: K-Nearest Neighbours Classification

In this video, we introduce the simplest classifier: the K-Nearest Neighbours classifier. This classifier has no trainable parameters, and classifies test points by finding its closest training…

From  Elliot Crowley 0 likes 28 plays 0  

MLP Lecture 05 - Clip 07 - Adam

Machine Learning Practical (MLP) Lecture 05, Clip 07 / 07.

From  Pavlos Andreadis 2 likes 367 plays 0  

MLP Lecture 05 - Clip 06 - RMSProp

Machine Learning Practical (MLP) Lecture 05, Clip 06 / 07.

From  Pavlos Andreadis 1 likes 376 plays 0  

MLP Lecture 05 - Clip 02 - Setting learning rate

Machine Learning Practical (MLP) Lecture 05, Clip 02 / 07.

From  Pavlos Andreadis 1 likes 480 plays 0  

MLP Lecture 04 - Clip 03 - Data splits

Machine Learning Practical (MLP) Lecture 04, Clip 03 / 05.

From  Pavlos Andreadis 1 likes 612 plays 0  

MLP Lecture 04 - Clip 02 - Generalisation

Machine Learning Practical (MLP) Lecture 04, Clip 02 / 05.

From  Pavlos Andreadis 1 likes 638 plays 0