Search for tag: "classifier"

AML: Logistic Regression - Logistic Regression

Applied Machine Learning - INFR11211 Logistic Regression - Logistic Regression Part 2/3

From  Oisin Mac Aodha 2 likes 558 plays

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…

From  Belle Taylor 0 likes 36 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 0 likes 19 plays 0  

FDS-S2-01-2-4 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 0 likes 323 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 31 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 0 likes 35 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 0 likes 34 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 0 likes 35 plays 0  

Pros and cons of dimensionality reduction

Pros and cons of dimensionality reduction

From  Nigel Goddard 1 likes 2,796 plays 0  

Linear discriminant analysis

Linear discriminant analysis

From  Nigel Goddard 1 likes 2,125 plays 0  

Classification with PCA features

Classification with PCA features

From  Nigel Goddard 1 likes 2,255 plays 0  

Feature selection and feature extraction

Feature selection and feature extraction

From  Nigel Goddard 0 likes 2,742 plays 0  

Evaluating clustering systems

Evaluating clustering systems

From  Nigel Goddard 1 likes 2,687 plays 0  

Sensitivity to outliers

Sensitivity to outliers

From  Nigel Goddard 1 likes 2,456 plays 0  

Number of nearest neighbors to use

Number of nearest neighbors to use

From  Nigel Goddard 1 likes 2,632 plays 0  

Pros and cons of decision trees

Pros and cons of decision trees

From  Nigel Goddard 0 likes 4,944 plays 0