Search for tag: "classifier"

34 Media

01:59 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 on September 25th, 2016 1 likes 1,870 plays 0 Licence Type Creative Commons - Attribution
03:00 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 on September 25th, 2016 1 likes 1,461 plays 0 Licence Type Creative Commons - Attribution
01:52 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 on September 25th, 2016 1 likes 1,532 plays 0 Licence Type Creative Commons - Attribution
02:21 Feature selection and feature extraction Feature selection and feature extraction	Feature selection and feature extraction Feature selection and feature extraction iaml pca attributes feature structure ways extraction variables combination combinations classifier x3 x2 selection things goal vm function d. inputs subset left From Nigel Goddard on September 25th, 2016 0 likes 1,869 plays 0 Licence Type Creative Commons - Attribution
06:39 Evaluating clustering systems Evaluating clustering systems	Evaluating clustering systems Evaluating clustering systems iaml k-means clustering task cluster clusters classification images algorithm pairs classifier evaluation classes bit groups question centroids variance distance judgments bunch bitmaps From Nigel Goddard on September 25th, 2016 1 likes 1,840 plays 0 Licence Type Creative Commons - Attribution
01:58 Sensitivity to outliers Sensitivity to outliers	Sensitivity to outliers Sensitivity to outliers iaml nearest neighbours neighbor point change neighbors class classifier blue lot notion training space region boundary decision problems stability bit neighbour vote majority From Nigel Goddard on September 21st, 2016 1 likes 1,565 plays 0 Licence Type Creative Commons - Attribution
03:29 Number of nearest neighbors to use Number of nearest neighbors to use	Number of nearest neighbors to use Number of nearest neighbors to use iaml nearest neighbours validation training class dataset values performance knn label middle classifier boundaries decision classifications algorithm procedure examples moment error setting equals From Nigel Goddard on September 21st, 2016 1 likes 1,686 plays 0 Licence Type Creative Commons - Attribution No Derivatives
03:43 Pros and cons of decision trees Pros and cons of decision trees	Pros and cons of decision trees Pros and cons of decision trees classification decision tree attribute philosophical terminology number yellow impossible decision theory caption complete compact boundaries settle split pretty approach iaml handle separate trees optical spectrum reason produce greedy decide decision trees algorithm thought depth continue representation problem classifier effects tree decision attributes splits lot cut blue access classifiers linear choice From Nigel Goddard on September 21st, 2016 0 likes 3,757 plays 0 Licence Type Creative Commons - Attribution
01:48 Decision Trees are DNF Formulas Decision Trees are DNF Formulas	Decision Trees are DNF Formulas Decision Trees are DNF Formulas iaml decision trees john tree decision rules classifier algorithm representation magic dnf function form formula logic clustering rain array head praise alright watson From Nigel Goddard on September 21st, 2016 0 likes 2,280 plays 0 Licence Type Creative Commons - Attribution
03:39 Decision Trees - An Introduction Decision Trees - An Introduction	Decision Trees - An Introduction Decision Trees - An Introduction subset nearest outlook decision tree attribute john play played tennis windy weather point decision theory caption complete statistics plays factors decision tennis split lecture classify observations iaml statistical terminology play tennis effects data point training decision trees educational psychology uncertainty data set decision boundaries playing john subsets classifier attributes tree kind weeks boundaries trees From Nigel Goddard on September 21st, 2016 0 likes 2,731 plays 0 Licence Type Creative Commons - Attribution
13:34 Receiver Operating Characteristic (ROC) Curve Receiver Operating Characteristic (ROC) Curve	Receiver Operating Characteristic (ROC) Curve Receiver Operating Characteristic (ROC) Curve iaml evaluation threshold rate positives classifier spam curve negatives point thresholds probability question systems left side bayes emails numbers rates function confidence From Nigel Goddard on September 21st, 2016 0 likes 2,405 plays 0 Licence Type Creative Commons - Attribution
04:22 Classification Cost and Utility Classification Cost and Utility	Classification Cost and Utility Classification Cost and Utility iaml evaluation cost negatives earthquake accuracy costs domain measure rate tomorrow thing positives measures probability classification metrics lots classifier classifiers actions loss From Nigel Goddard on September 21st, 2016 0 likes 2,041 plays 0 Licence Type Creative Commons - Attribution
01:56 When Classification Error is Wrong When Classification Error is Wrong	When Classification Error is Wrong When Classification Error is Wrong iaml evaluation accuracy classifier prize nobel problem errors misclassification human positives papers measure lot rate nope paper publications winners b. systems crosses From Nigel Goddard on September 21st, 2016 0 likes 1,860 plays 0 Licence Type Creative Commons - Attribution
01:58 Evaluating Classification and Regression Evaluating Classification and Regression	Evaluating Classification and Regression Evaluating Classification and Regression iaml evaluation accuracy labels classification classifier times regression error task measures learning difference alright prediction amount class lecture rome tasks kinds From Nigel Goddard on September 21st, 2016 0 likes 2,094 plays 0 Licence Type Creative Commons - Attribution
04:30 Leave-one-out cross-validation Leave-one-out cross-validation	Leave-one-out cross-validation Leave-one-out cross-validation iaml evaluation class problem classifier error instance training majority rate testing examples b. half attributes classes times dataset alright rule bit neighbor From Nigel Goddard on September 21st, 2016 0 likes 2,091 plays 0 Licence Type Creative Commons - Attribution
05:40 Cross-validation Cross-validation	Cross-validation Cross-validation iaml evaluation classifier error training testing validation instances fold cross decision rate estimate tree instance future portion test bayes average classifiers end From Nigel Goddard on September 21st, 2016 0 likes 2,060 plays 0 Licence Type Creative Commons - Attribution

the university of edinburgh

University affiliations

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336, VAT Registration Number GB 592 9507 00, and is acknowledged by the UK authorities as a “Recognised body” which has been granted degree awarding powers.

Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2019. Course specific materials are created by University of Edinburgh staff for you to use in your studies. You should not share, publish or sell these outside the University