Search for tag: "dimensionality"

Edossa Merga Terefe EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Edossa Merga Terefe Talk Title: Extremal Random Forests Abstract: Methods from statistics and machine…

From  Anna Munro on May 25th, 2021 0 likes 16 plays 0  

ML2: Dimensionality Reduction

In this second video, we motivate why it is useful to reduce the dimensionality of your data, and describe how this can be done linearly, using a transformation matrix. We describe a setup whereby we…

From  Elliot Crowley on November 5th, 2020 0 likes 14 plays 0  

MLP Lecture 07 - Clip 06 - Multiple Feature Maps

Machine Learning Practical (MLP) Lecture 07, Clip 06 / 09.

From  Pavlos Andreadis on November 2nd, 2020 1 likes 186 plays 0  

Unsupervised Learning

Unsupervised Learning

From  Dimitrios Doudesis on June 8th, 2020 0 likes 183 plays 0  

Pros and cons of dimensionality reduction

Pros and cons of dimensionality reduction

From  Nigel Goddard on September 25th, 2016 1 likes 2,148 plays 0  

How many principal components to use

How many principal components to use

From  Nigel Goddard on September 25th, 2016 1 likes 1,749 plays 0  

Why we maximize variance in PCA

Why we maximize variance in PCA

From  Nigel Goddard on September 25th, 2016 2 likes 2,405 plays 0  

Tackling the curse of dimensionality

Tackling the curse of dimensionality

From  Nigel Goddard on September 25th, 2016 1 likes 2,078 plays 0  

The curse of dimensionality

The curse of dimensionality

From  Nigel Goddard on September 25th, 2016 2 likes 2,087 plays 0  

Data manifolds in high-dimensional spaces

Data manifolds in high-dimensional spaces

From  Nigel Goddard on September 25th, 2016 2 likes 2,078 plays 0  

Pros and cons of nearest-neighbor methods

Pros and cons of nearest-neighbor methods

From  Nigel Goddard on September 21st, 2016 1 likes 2,966 plays 0