Search for tag: "dimensionality"

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 13 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 184 plays 0  

Unsupervised Learning

Unsupervised Learning

From  Dimitrios Doudesis on June 8th, 2020 0 likes 81 plays 0  

Pros and cons of dimensionality reduction

Pros and cons of dimensionality reduction

From  Nigel Goddard on September 25th, 2016 1 likes 2,108 plays 0  

How many principal components to use

How many principal components to use

From  Nigel Goddard on September 25th, 2016 1 likes 1,745 plays 0  

Why we maximize variance in PCA

Why we maximize variance in PCA

From  Nigel Goddard on September 25th, 2016 2 likes 2,394 plays 0  

Tackling the curse of dimensionality

Tackling the curse of dimensionality

From  Nigel Goddard on September 25th, 2016 1 likes 2,070 plays 0  

The curse of dimensionality

The curse of dimensionality

From  Nigel Goddard on September 25th, 2016 2 likes 2,081 plays 0  

Data manifolds in high-dimensional spaces

Data manifolds in high-dimensional spaces

From  Nigel Goddard on September 25th, 2016 2 likes 2,074 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 2,890 plays 0