Search for tag: "points"

114 Media

51:40 OsesComputationalMaterialsDesign OsesComputationalMaterialsDesign	OsesComputationalMaterialsDesign materials properties structure material analysis symmetry tc structures construction temperature model lot stability composition superconductors points question compositions phase energy From James Overhiser 3 plays
45:27 Fall 2022 PIN Seminar - Diana Thomas, PhD Fall 2022 PIN Seminar - Diana Thomas, PhD	Fall 2022 PIN Seminar - Diana Thomas, PhD Seminar title: “What my calculus class tells me about the response to diets” curve point things inflection response calculus model glucose points nutrition question paper regression insulin questions machine precision hypoglycemia curves bmi From Nidhi Shrestha 5 plays
12:42 2022 REU Presentation: Sri Gudivada 2022 REU Presentation: Sri Gudivada	2022 REU Presentation: Sri Gudivada energy band density potassium materials structure calculations conduction graph correlation exchange electron bulk valence gap level points space functions electrons From James Overhiser 17 plays
13:38 2022 REU Presentation: Yacob Melman 2022 REU Presentation: Yacob Melman	2022 REU Presentation: Yacob Melman oxide resistivity scattering copper growth quality lot things film boundaries 3d properties points substrate thickness silver material energy mobility thing From James Overhiser 11 plays
01:00:14 Stochastic Networks Conference 2022 - Sophie… Stochastic Networks Conference 2022 - Sophie Hautphenne Edit	Stochastic Networks Conference 2022 - Sophie Hautphenne Edit Zoom Recording ID: 97630276119 UUID: U0km4eAFT/qJV3mJGOGpqw== Meeting Time: 2022-06-22 12:35:35pm extinction process processes types vector vectors sets probability points elements population party branching progeny parameter generation layers projection layer subsets From E. Cornelius 4 plays
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 18 plays
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 39 plays
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 32 plays
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 119 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 85 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 104 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 24 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 90 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 20 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 149 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 16 plays