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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 388 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 47 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 50 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 36 plays 0  

MLP Lecture 05 - Clip 07 - Adam

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

From  Pavlos Andreadis 2 likes 368 plays 0  

MLP Lecture 05 - Clip 06 - RMSProp

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

From  Pavlos Andreadis 1 likes 377 plays 0  

MLP Lecture 05 - Clip 02 - Setting learning rate

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

From  Pavlos Andreadis 1 likes 481 plays 0  

MLP Lecture 04 - Clip 03 - Data splits

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

From  Pavlos Andreadis 1 likes 614 plays 0  

MLP Lecture 04 - Clip 02 - Generalisation

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

From  Pavlos Andreadis 1 likes 639 plays 0