Search for tag: "hyperparameters"

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 on May 25th, 2021 0 likes 6 plays 0  

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

The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 26 February 2021Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC…

From  OLLIE Quinn on March 1st, 2021 0 likes 20 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 on November 9th, 2020 0 likes 10 plays 0  

MLP Lecture 05 - Clip 07 - Adam

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

From  Pavlos Andreadis on October 18th, 2020 2 likes 149 plays 0  

MLP Lecture 05 - Clip 06 - RMSProp

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

From  Pavlos Andreadis on October 18th, 2020 1 likes 139 plays 0  

MLP Lecture 05 - Clip 02 - Setting learning rate

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

From  Pavlos Andreadis on October 18th, 2020 1 likes 182 plays 0  

MLP Lecture 04 - Clip 03 - Data splits

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

From  Pavlos Andreadis on October 11th, 2020 1 likes 216 plays 0  

MLP Lecture 04 - Clip 02 - Generalisation

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

From  Pavlos Andreadis on October 11th, 2020 1 likes 224 plays 0