Search for tag: "validation"

AML: Generalisation - Measuring Generalisation

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

From  Siddharth N 0 likes 145 plays 0  

A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee

Structural Breaks and Shape Constraints A Theoretically Tractable Framework for K Fold Cross Vaidation Sabyasachi Chatterjee (University of Illinois at Urbana-Champaign) 19 May 2022

From  Iain Cms 0 likes 23 plays 0  

IDS 2021 - Week 11 - 01 - Keeping up with IDS

Recap of Week 10 and what to expect in Week 11.

From  David Elliott 0 likes 10 plays 0  

Benjamin Bobbia EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Benjamin Bobbia Talk Title: Estimation of extreme conditional quantiles with coupling method. Abstract: The…

From  Anna Munro 0 likes 16 plays 0  

welcome

Welcome talk for 6th CSSP workshop.

From  Simon Tett 0 likes 15 plays 0  

MLP Q&A 2 - Session 5 (Week 11)

Machine Learning Practical Q&A 2 - Session 5 (Week 11).

From  Pavlos Andreadis 1 likes 10 plays 0  

IDS - Week 10 - 04 - AE - The Office, Part 2

Predicting IMDB ratings of The Office episodes. Part 2 of 2: Modeling, cross validation, and model selection.

From  Mine Cetinkaya-Rundel 0 likes 22 plays 0  

IDS - Week 10 - 02 - Cross validation

Cross validation for evaluating model performance and RMSE

From  Mine Cetinkaya-Rundel 0 likes 66 plays 0  

Desmond Higham 16 November Should We Be Perturbed About Deep Learning

ICMS OWNA An automated programme has been used to generate the subtitles on this talk.

From  OLLIE Quinn 0 likes 351 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 18 plays 0  

MLP Q&A 1 - Session 3 (Week 7)

Machine Learning Practical Q&A 1 - Session 3 (Week 7).

From  Pavlos Andreadis 1 likes 36 plays 0  

MLP Lecture 05 - Clip 03 - Learning rate schedules

Machine Learning Practical (MLP) Lecture 05, Clip 03 / 07.

From  Pavlos Andreadis 1 likes 426 plays 0  

MLP Lecture 04 - Clip 04 - Overtraining & Early stopping

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

From  Pavlos Andreadis 1 likes 594 plays 0  

MLP Lecture 04 - Clip 03 - Data splits

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

From  Pavlos Andreadis 1 likes 582 plays 0  

MLP Lecture 04 - Clip 02 - Generalisation

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

From  Pavlos Andreadis 1 likes 609 plays 0  

Training, Validation and Test Sets

Training, Validation and Test Sets - Week 4

From  Calum Macphail 0 likes 137 plays 0