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06:20 Q & A Q & A	Q & A Questions and answers following the the presentation "FeedBackFuits: Peer learning and group evaluation use cases" feedbackfruits peer review students semester teams lot peer bit category rubric question communication issues fruits things points feedback student stuff end ins issue From Zach Butler 5 plays Creation Date February 08, 2022 Creator 1 First Name Ksenia Creator 1 Last Name Ionova Creator 1 NetID kbi4 Creator 2 Role Faculty or Staff Member Language English Searchable Yes
22:11 Faculty Presenter: Deena Thomas Faculty Presenter: Deena Thomas	Faculty Presenter: Deena Thomas Deena Thomas, Postdoctoral fellow in the Division of Nutritional Sciences, will share her experience using FeedbackFruits peer review to facilitate group work in a Public Health course. feedbackfruits peer review feedback students peer person student semester class groups peers assignment points grading question end lot component fruits activity instructor grade From Zach Butler 13 plays Creation Date February 08, 2022 Creator 1 First Name Deena Creator 1 Last Name Thomas Creator 1 Role Faculty or Staff Member Creator 1 NetID dbt54 Language English Searchable Yes
22:41 What works: Classroom polling ideas to engage… What works: Classroom polling ideas to engage students (part 5)	What works: Classroom polling ideas to engage students (part 5) Useful questions for all three panelists Topics: Rephrasing polling questions, To grade or not to grade?, Involving TA's in polling, Explaining why answers are right and wrong, Pre-lecture… polling grading class students question questions answer lot credit percent couple slides thing pre poll answers points things participation lecture times From Zach Butler 9 plays Creator 1 First Name Rachel Creator 1 Last Name Gunderson Creator 1 Role Presenter Creator 1 NetID rtg54 Creator 2 First Name Pat Creator 2 Last Name Graham Creator 2 Role Presenter Creator 2 NetID pmg1 Language English Searchable Yes Searchable On Cornell Web Search
07:09 ELSO Orientation Video Spring 2022 ELSO Orientation Video Spring 2022	ELSO Orientation Video Spring 2022 Zoom Recording ID: 2847733042 UUID: Lit1o/v4QKOUtFVuFaLMsA== Meeting Time: 2022-01-14 07:15:39pm courses students graduate semester programs writing canvas workshops job behalf question sessions minutes student fall cornell points parts language amanda From Michelle Crow 16 plays
01:20:01 Lecture 11/18/21: Automated machine learning Lecture 11/18/21: Automated machine learning	Lecture 11/18/21: Automated machine learning Zoom Recording ID: 94347618999 UUID: swJzf2foSJGgxZQh1SLErA== Meeting Time: 2021-11-18T14:37:07Z model models machine dataset learning datasets hyperparameters lot hyperparameter feature vector error points classifier regression cross values linear features pca From Madeleine Udell 63 plays
01:21:51 Lecture 11/16/21: Generalized low rank models Lecture 11/16/21: Generalized low rank models	Lecture 11/16/21: Generalized low rank models Zoom Recording ID: 94347618999 UUID: SAWHob9hQW2cn6V0EZ64cg== Meeting Time: 2021-11-16T14:36:06Z loss values model entries function rank regularization sum vector matrix times points error thing columns w. column norm dataset kind From Madeleine Udell 77 plays
01:11:40 11.15.21 Rad Niazadeh, University of Chicago 11.15.21 Rad Niazadeh, University of Chicago	11.15.21 Rad Niazadeh, University of Chicago Zoom Recording ID: 97325240794 UUID: lYgN9LNUQc6At0ybS4kIUw== Meeting Time: 2021-11-15T20:30:01Z function algorithm point path points strategy coordinate problem lambda question fact condition paper approximation thing change game half extension inequality From Jordan Staiti 5 plays
01:21:07 Lecture 11/11: Imputing missing values with the… Lecture 11/11: Imputing missing values with the Gaussian copula	Lecture 11/11: Imputing missing values with the Gaussian copula Zoom Recording ID: 94347618999 UUID: me8ufsMXTCm5sdTAuyJ8PQ== Meeting Time: 2021-11-11T14:31:38Z model distribution variables imputation datasets question variable function questions features points assumption invitation values thing estimation observation hyperparameters parameter column From Madeleine Udell 70 plays
40:11 Section 11/11/21: Unsupervised learning Section 11/11/21: Unsupervised learning	Section 11/11/21: Unsupervised learning Zoom Recording ID: 91739230861 UUID: 8MxuTGrARuus+eP48YiN8w== Meeting Time: 2021-11-10T16:25:24Z clusters clustering cluster points algorithm distance point thing means sort scan metric questions things outliers labels algorithms neighbors epsilon bit From Madeleine Udell 14 plays
01:30:32 Lecture 11/4/21: Losses for classification and… Lecture 11/4/21: Losses for classification and multi-class classification	Lecture 11/4/21: Losses for classification and multi-class classification Zoom Recording ID: 94347618999 UUID: l1RpSW+qTF6f/eH+Nbq9vQ== Meeting Time: 2021-11-04T13:33:44Z loss function problem class classification thing prediction margin space probability vector output linear points bit models kind regression things numbers From Madeleine Udell 131 plays
45:40 Section: post-hoc interpretability (LIME, SHAP) Section: post-hoc interpretability (LIME, SHAP)	Section: post-hoc interpretability (LIME, SHAP) Zoom Recording ID: 95071859677 UUID: 8jQJz7E4RLS27UeD6NpZ6w== Meeting Time: 2021-11-03T15:17:11Z model decision machine prediction models kind feature box class performance linear sort points instance bunch algorithm things learning features guys From Madeleine Udell 11 plays
01:51:18 Lecture 11/2/21: Loss functions Lecture 11/2/21: Loss functions	Lecture 11/2/21: Loss functions Zoom Recording ID: 94347618999 UUID: vWQG3ObBTcWaFwtVIF8PgQ== Meeting Time: 2021-11-02T13:05:02Z loss regression outliers points function error times distance squares prediction point problem linear alpha errors quantile model sum functions questions From Madeleine Udell 131 plays
01:30:06 Lecture 10/19/21: Trees Lecture 10/19/21: Trees	Lecture 10/19/21: Trees Zoom Recording ID: 94347618999 UUID: aVtz9UcFQEWYfZSJRdBJJw== Meeting Time: 2021-10-19T13:35:26Z points region tree node decision point leaf model label split class trees linear values threshold coordinate thing percent thresholds nodes From Madeleine Udell 112 plays
01:26:58 Lecture 10/14: Bootstrap and bias variance… Lecture 10/14: Bootstrap and bias variance tradeoff	Lecture 10/14: Bootstrap and bias variance tradeoff Zoom Recording ID: 94347618999 UUID: qgdVNfgoTIi+Z1Xj3EkLqQ== Meeting Time: 2021-10-14T13:29:44Z model dataset function distribution variance points prediction bootstrap point sample models datasets expectation sigma thing linear hm times bias epsilon From Madeleine Udell 100 plays
01:07:39 ORIE Colloquium on 10/45/2021: Jeff Linderoth ORIE Colloquium on 10/45/2021: Jeff Linderoth	ORIE Colloquium on 10/45/2021: Jeff Linderoth Subspace Clustering with Missing Data via Integer Programming In the Subspace Clustering with Missing Data (SCMD) problem, we are given a collection of n data points, arranged into columns of a… subspace points problem matrix point subspaces programming linear method clustering things bit methods integer sort machine sense rank dimension completion From E. Cornelius 1 plays
01:00:29 10.4.21 Nikhil Garg, Cornell Tech 10.4.21 Nikhil Garg, Cornell Tech	10.4.21 Nikhil Garg, Cornell Tech Zoom Recording ID: 97325240794 UUID: 71RFqbXHQ4WXuORKMZ9U9g== Meeting Time: 2021-10-04T19:35:11Z district districts party lot proportionality sort points representatives percent things questions gerrymandering maps point thing winner election voting multi choice From Jordan Staiti 22 plays