Search for tag: "dimensionality"

AML: Non-Linear Dimensionality Reduction - Visualisation

Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2

From  Siddharth N 0 likes 86 plays 0  

AML: Non-Linear Dimensionality Reduction - Extending Linear Methods

Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Part 1/2

From  Siddharth N 0 likes 78 plays 0  

AML: Exploratory Data Analysis - PCA Examples

Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - PCA Examples Part 3/3

From  Siddharth N 0 likes 126 plays 0  

AML: Exploratory Data Analysis - Data Visualisation

Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - Data Visualisation Part 1/3

From  Siddharth N 0 likes 135 plays 0  

Anis Hamadouche Presentation - SSPD 2021

Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Approximate Proximal-Gradient Methods" Speaker: Anis Hamadouche, Heriot-Watt…

From  Joe Burchell 0 likes 31 plays 0  

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 0 likes 27 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 0 likes 20 plays 0  

MLP Lecture 07 - Clip 06 - Multiple Feature Maps

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

From  Pavlos Andreadis 1 likes 488 plays 0  

Unsupervised Learning

Unsupervised Learning

From  Dimitrios Doudesis 0 likes 377 plays 0  

Sampling

Sampling - Week 4

From  Calum Macphail 0 likes 118 plays 0  

Pros and cons of dimensionality reduction

Pros and cons of dimensionality reduction

From  Nigel Goddard 1 likes 2,643 plays 0  

How many principal components to use

How many principal components to use

From  Nigel Goddard 1 likes 2,150 plays 0  

Why we maximize variance in PCA

Why we maximize variance in PCA

From  Nigel Goddard 2 likes 2,961 plays 0  

Tackling the curse of dimensionality

Tackling the curse of dimensionality

From  Nigel Goddard 1 likes 2,576 plays 0  

The curse of dimensionality

The curse of dimensionality

From  Nigel Goddard 2 likes 2,567 plays 0  

Data manifolds in high-dimensional spaces

Data manifolds in high-dimensional spaces

From  Nigel Goddard 2 likes 2,554 plays 0