Search for tag: "pca"

27 Media

AML: Non-Linear Dimensionality Reduction -… duration 11 minutes 3 seconds AML: Non-Linear Dimensionality Reduction -… AML: Non-Linear Dimensionality Reduction - Extending Linear Methods	AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Part 1/2 aml machine learning nonlinear dimensionality reduction function kernel vector pca linear space points basis matrix values phi feature dimensions dimensionality eigenvector kind conditions condition covariance dataset From Siddharth N 0 likes 371 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Exploratory Data Analysis - PCA Examples duration 15 minutes 22 seconds AML: Exploratory Data Analysis - PCA Examples AML: Exploratory Data Analysis - PCA Examples	AML: Exploratory Data Analysis - PCA Examples Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - PCA Examples Part 3/3 aml machine learning exploratory data analysis pca component dimensions variance direction components linear features axis directions dimensionality outliers wales dimension points principal bca fact e.g. scotland From Siddharth N 2 likes 476 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Exploratory Data Analysis - PCA duration 20 minutes 20 seconds AML: Exploratory Data Analysis - PCA AML: Exploratory Data Analysis - PCA	AML: Exploratory Data Analysis - PCA Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - PCA Part 2/3 aml machine learning exploratory data analysis pca variance direction components lambda matrix covariance times component dimensions space variation eigenvectors values vector point dimension directions principal eigenvalues eigen From Siddharth N 3 likes 659 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
ML3: Dimensionality Reduction using Principal… duration 10 minutes 23 seconds ML3: Dimensionality Reduction using Principal… ML3: Dimensionality Reduction using Principal Component Analysis	ML3: Dimensionality Reduction using Principal Component Analysis In this video, we will learn that we can use Principal Component Analysis (PCA) to find a transformation matrix that minimises reconstruction error for dimensionality reduction. We also show how this… matrix reconstruction dimensions jackson george error dimension components space x. columns variation transformation points dataset spectra clips audio speakers pca From Elliot Crowley 0 likes 44 plays 0
MLP Lecture 06 - Clip 03 - Data Normalisation duration 9 minutes 0 seconds MLP Lecture 06 - Clip 03 - Data Normalisation MLP Lecture 06 - Clip 03 - Data Normalisation	MLP Lecture 06 - Clip 03 - Data Normalisation Machine Learning Practical (MLP) Lecture 06, Clip 03 / 05. machine learning deep learning training network components pca correlation thing solution directions sets inputs samples idea whites eigenvalues space analysis test access deviation optimization From Pavlos Andreadis 1 likes 468 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
Unsupervised Learning duration 5 minutes 31 seconds Unsupervised Learning Unsupervised Learning	Unsupervised Learning Unsupervised Learning hds dataset learning cluster clusters features pca component algorithm instance components variance direction reduction assignment point dimensions words dimensionality centers points From Matt Sanders 0 likes 602 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution Share A Like
Properties of eigenfaces duration 2 minutes 17 seconds Properties of eigenfaces Properties of eigenfaces	Properties of eigenfaces Properties of eigenfaces iaml pca faces face eigenspace distance head pixels lighting things function space sample examples image eigenfaces downside upside representation identification thine dies From Nigel Goddard 1 likes 1,943 plays 0 Licence Type Creative Commons - Attribution
Pros and cons of dimensionality reduction duration 1 minute 59 seconds Pros and cons of dimensionality reduction Pros and cons of dimensionality reduction	Pros and cons of dimensionality reduction Pros and cons of dimensionality reduction iaml pca space classification bayes dimensionality dimensions lot reason harm classes goal sets algorithms class downside upside assumption independence classifier classifiers From Nigel Goddard 1 likes 2,803 plays 0 Licence Type Creative Commons - Attribution
Principal component analysis duration 2 minutes 39 seconds Principal component analysis Principal component analysis	Principal component analysis Principal component analysis iaml pca hyperplane points coordinates variance space 3d point pc1 vectors sheet component coordinate pc3 direction dimensions technique attributes level r. From Nigel Goddard 1 likes 2,930 plays 0 Licence Type Creative Commons - Attribution
Linear discriminant analysis duration 3 minutes 0 seconds Linear discriminant analysis Linear discriminant analysis	Linear discriminant analysis Linear discriminant analysis iaml pca class projection lda means dimension classifier variance direction counterexamples variances difference accuracy classification reds greens problem linear threshold hand From Nigel Goddard 1 likes 2,131 plays 0 Licence Type Creative Commons - Attribution
Classification with PCA features duration 1 minute 52 seconds Classification with PCA features Classification with PCA features	Classification with PCA features Classification with PCA features iaml pca dimension points class variance classes classifier swamps slide space colors point projection alright distribution dimensions coordinates decomposition labels redundancy From Nigel Goddard 1 likes 2,261 plays 0 Licence Type Creative Commons - Attribution
When principal components fail duration 1 minute 51 seconds When principal components fail When principal components fail	When principal components fail When principal components fail iaml pca attribute linear thing variance covariance dimension projection component matrix sheet subspace subspaces mind variances deviation distances fact gazillion attributes From Nigel Goddard 1 likes 2,123 plays 0 Licence Type Creative Commons - Attribution
Eigenface representation duration 3 minutes 56 seconds Eigenface representation Eigenface representation	Eigenface representation Eigenface representation iaml pca face faces representation eigenfaces pixels bit eigenvector vector amount guy projection components average numbers coordinate result human phase attributes eigenvectors From Nigel Goddard 1 likes 2,166 plays 0 Licence Type Creative Commons - Attribution
Eigen-faces duration 5 minutes 0 seconds Eigen-faces Eigen-faces	Eigen-faces Eigen-faces iaml pca matrix vector face row faces guys variance areas eigenvector numbers thing eigenvectors vectors pixels hair regions sort bit picture values From Nigel Goddard 1 likes 2,415 plays 0 Licence Type Creative Commons - Attribution
Principal component analysis for the impatient duration 3 minutes 48 seconds Principal component analysis for the impatient Principal component analysis for the impatient	Principal component analysis for the impatient Principal component analysis for the impatient iaml pca dimension eigenvectors dimensions eigenvalues points space language matrix covariance height vector level hand sense duke bit grader worship ref From Nigel Goddard 1 likes 2,305 plays 0 Licence Type Creative Commons - Attribution
How many principal components to use duration 3 minutes 56 seconds How many principal components to use How many principal components to use	How many principal components to use How many principal components to use iaml pca variance eigenvalues sum dimensions lambda eigenvectors point dimensionality graph space decrease elbow inflection plot means scri sentences numbers sense humans From Nigel Goddard 1 likes 2,263 plays 0 Licence Type Creative Commons - Attribution