Search for tag: "classifier"

Flood Risk: Juliette Legrand

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Juliette Legrand Talk Title: Evaluation of binary classifiers for extremes Abstract:…

From  Belle Taylor on July 1st, 2021 0 likes 28 plays 0  

Juliette Legrand EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Juliette Legrand Talk Title: Evaluation of binary classifiers for extremes Abstract: Machine learning…

From  Anna Munro on May 13th, 2021 0 likes 14 plays 0  

FDS-S2-02-2-4 The logistic regression classifier

We show how to make a logistic regression classifier, and, in the context of ethics, consider how transparent logistic regression can be made to people whose lives it affects. We also compare…

From  David Sterratt on January 20th, 2021 0 likes 163 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 13 plays 0  

ML7: Logistic Classification

Here, we introduce a logistic classifier and cover how it differs from a linear classifier. Then, we show how its parameters can be learnt by minimising the cross-entropy loss. Finally, we visualise…

From  Elliot Crowley on November 6th, 2020 0 likes 11 plays 0  

ML6: Linear Classification

In this video, we are introduced to linear classifiers. These have parameters which weight input features, and output a scalar that is used to assign a point to a class. We learn that these…

From  Elliot Crowley on November 5th, 2020 0 likes 11 plays 0  

ML4: An introduction to Classification

Here, we explain what is meant by a (binary) classifier. It is a black box that takes in some data and predicts whether it belongs to one of two possible classes. We also describe how we can split…

From  Elliot Crowley on November 5th, 2020 0 likes 9 plays 0  

Pros and cons of dimensionality reduction

Pros and cons of dimensionality reduction

From  Nigel Goddard on September 25th, 2016 1 likes 2,150 plays 0  

Linear discriminant analysis

Linear discriminant analysis

From  Nigel Goddard on September 25th, 2016 1 likes 1,638 plays 0  

Classification with PCA features

Classification with PCA features

From  Nigel Goddard on September 25th, 2016 1 likes 1,732 plays 0  

Feature selection and feature extraction

Feature selection and feature extraction

From  Nigel Goddard on September 25th, 2016 0 likes 2,111 plays 0  

Evaluating clustering systems

Evaluating clustering systems

From  Nigel Goddard on September 25th, 2016 1 likes 2,083 plays 0  

Sensitivity to outliers

Sensitivity to outliers

From  Nigel Goddard on September 21st, 2016 1 likes 1,820 plays 0  

Number of nearest neighbors to use

Number of nearest neighbors to use

From  Nigel Goddard on September 21st, 2016 1 likes 1,941 plays 0  

Decision Trees are DNF Formulas

Decision Trees are DNF Formulas

From  Nigel Goddard on September 21st, 2016 0 likes 2,555 plays 0