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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…
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial No Derivatives Language
English Date Created
January 20th, 2021
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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…
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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…
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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…
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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…
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Pros and cons of dimensionality reduction
Licence Type
Creative Commons - Attribution
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Linear discriminant analysis
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Creative Commons - Attribution
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Classification with PCA features
Licence Type
Creative Commons - Attribution
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Feature selection and feature extraction
Licence Type
Creative Commons - Attribution
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Evaluating clustering systems
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Creative Commons - Attribution
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Sensitivity to outliers
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Creative Commons - Attribution
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Number of nearest neighbors to use
Licence Type
Creative Commons - Attribution No Derivatives
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Pros and cons of decision trees
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Creative Commons - Attribution
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Decision Trees are DNF Formulas
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Creative Commons - Attribution
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Decision Trees - An Introduction
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Creative Commons - Attribution
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Receiver Operating Characteristic (ROC) Curve
Licence Type
Creative Commons - Attribution
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