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33:15 AML: Model Selection - Statistical Tests AML: Model Selection - Statistical Tests	AML: Model Selection - Statistical Tests Applied Machine Learning - INFR11211 AML: Model Selection - Statistical Tests Part 2/2 aml machine learning model evaluation distribution hypothesis samples population sample difference variance things splits errors error dataset tests model student values significance test means statistics From Siddharth N 0 likes 206 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
12:24 AML: Model Selection - Direct Comparison AML: Model Selection - Direct Comparison	AML: Model Selection - Direct Comparison Applied Machine Learning - INFR11211 AML: Model Selection - Direct Comparison Part 1/2 aml machine learning model evaluation model measures models variation regression things difference question choice values test predictions disparity recall effects point errors splits accuracy learning From Siddharth N 0 likes 166 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
20:36 Lecture 10 - Branch and Bound Optimisation Lecture 10 - Branch and Bound Optimisation	Lecture 10 - Branch and Bound Optimisation Lecture 10 - Branch and Bound Optimisation sequence function path flow sequences components integer constraints branch splits optimization component approach vapour algorithm vapor heuristics values distillation calculations From Mennatallah Labib 0 likes 277 plays 0 Course Code CHEEE1005 - CHEDSE4 Licence Type All rights reserved The University of Edinburgh Language English
21:05 Lecture 8 - Marginal Vapour Flow Method Lecture 8 - Marginal Vapour Flow Method	Lecture 8 - Marginal Vapour Flow Method Lecture 8 - Marginal Vapour Flow Method flow sequence components key vapour column component distillation light split sequences vapor method volatility splits feed separation e. columns lecture From Mennatallah Labib 0 likes 593 plays 0 Course Code CHEEE1005 - CHEDSE4 Licence Type All rights reserved The University of Edinburgh Language English
03:25 Divisive clustering (top-down) Divisive clustering (top-down)	Divisive clustering (top-down) Divisive clustering (top-down) iaml hierarchical clustering points cluster means iteration clusters singleton algorithm subset groups property clustering factor instances base depth splits iterations half operation complexity From Nigel Goddard 1 likes 2,523 plays 0 Licence Type Creative Commons - Attribution
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 0 likes 4,852 plays 0 Licence Type Creative Commons - Attribution
04:02 Decision Tree - Split Purity Decision Tree - Split Purity	Decision Tree - Split Purity Decision Tree - Split Purity iaml decision trees subset split negatives positives subsets measure outlook proportion instance purity sort lot splits wind partitioning attribute probability score nose positivists From Nigel Goddard 0 likes 3,499 plays 0 Licence Type Creative Commons - Attribution
01:51 Stratified Sampling Stratified Sampling	Stratified Sampling Stratified Sampling iaml evaluation classes training testing folds stratification splits problem negatives positives dataset proportions validation cross balance sorts split times fold instance priors From Nigel Goddard 0 likes 3,108 plays 0 Licence Type Creative Commons - Attribution

Search for tag: "splits"

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