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20:09 Stochastic Networks Conference 2022 - Lightning… Stochastic Networks Conference 2022 - Lightning Round 2 Edit	Stochastic Networks Conference 2022 - Lightning Round 2 Edit Zoom Recording ID: 97630276119 UUID: b0bbUQGeREmWQTqzq6FRkA== Meeting Time: 2022-06-20 03:00:12pm server poster question drivers network job models algorithm servers problem level lot model setup tech stability vehicles queuing phd history From E. Cornelius 0 plays
01:01:16 Stochastic Networks Conference 2022 - Nicolas… Stochastic Networks Conference 2022 - Nicolas Gast Edit	Stochastic Networks Conference 2022 - Nicolas Gast Edit Zoom Recording ID: 97630276119 UUID: +/xXcDwaQAeikAIq7MRL7A== Meeting Time: 2022-06-21 12:36:33pm approximation model thing field fact objects object numbers expectation term simulation rate bias n. question idea models drift moment interaction From E. Cornelius 2 plays
01:03:31 Stochastic Networks Conference 2022 - Daniele… Stochastic Networks Conference 2022 - Daniele Cappelletti Edit	Stochastic Networks Conference 2022 - Daniele Cappelletti Edit Zoom Recording ID: 97630276119 UUID: U0km4eAFT/qJV3mJGOGpqw== Meeting Time: 2022-06-22 12:35:35pm reaction model molecules network distribution function rate thing molecule reactions lyapunov balance graph conjecture complex species idea models probability equilibrium From E. Cornelius 0 plays
58:45 Stochastic Networks Conference 2022 - Sergey Foss… Stochastic Networks Conference 2022 - Sergey Foss Edit	Stochastic Networks Conference 2022 - Sergey Foss Edit Zoom Recording ID: 97630276119 UUID: kMO73A74S6SFYTL64HCBoQ== Meeting Time: 2022-06-23 12:23:34pm rate model station migration situation probability models level lambda mu customers input stations paper equation alpha guys times function networks From E. Cornelius 2 plays
03:23 06 Yanle Lu 06 Yanle Lu	06 Yanle Lu model limit prediction resolution wind condition building simulations speed values models forest problem difference forecast predictions uncertainty wing butterfly future From Sarah Day 15 plays
01:28:26 Lecture 12/7: Review Lecture 12/7: Review	Lecture 12/7: Review Zoom Recording ID: 94347618999 UUID: VheGqdJfRNW1xraslG/csw== Meeting Time: 2021-12-07T14:31:46Z model models features sort machine class things learning lots questions lot problems feature problem linear decision methods ways gradient loss From Madeleine Udell 33 plays
01:38:47 Lecture 12/2/21: Neural networks Lecture 12/2/21: Neural networks	Lecture 12/2/21: Neural networks Zoom Recording ID: 94347618999 UUID: 911ow0ynTaqsKu+54L3rUg== Meeting Time: 2021-12-02T14:31:48Z function gradient layer linear thing networks network lot respect differentiation output matrix model kind bit nets lots models times activation From Madeleine Udell 55 plays
01:00:32 11.19.21 Colin Raffel, University of North… 11.19.21 Colin Raffel, University of North Carolina, Chapel Hill	11.19.21 Colin Raffel, University of North Carolina, Chapel Hill Zoom Recording ID: 471873857 UUID: SwRtiQ0IT+y+Pg5XIePVnw== Meeting Time: 2021-11-19T16:55:37Z model models task parameters pre training learning lot kind performance tasks things machine question matrix transfer source talk updates boost From Jordan Staiti 8 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 71 plays
37:42 Section 11/17/21: AutoML in practice Section 11/17/21: AutoML in practice	Section 11/17/21: AutoML in practice Zoom Recording ID: 95071859677 UUID: 7SwHgWAPSYeW0s+5BsZyUg== Meeting Time: 2021-11-17T16:16:44Z model models machine hyperparameters oboe performance dataset grid scikit matrix parameters things instance parameter thing kind learning trees decision values From Madeleine Udell 18 plays
57:59 Ivan Rudik Dyson Faculty Research Seminar Ivan Rudik Dyson Faculty Research Seminar	Ivan Rudik Dyson Faculty Research Seminar Zoom Recording ID: 91493088991 UUID: AYkHP7kjRyG9lAXCi8bkVQ== Meeting Time: 2021-11-11T16:18:33Z climate change temperature things thing paper carbon uncertainty lot welfare literature effect model models migration households papers fact stuff forecast damage From Chris Barrett 13 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 135 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 14 plays
01:23:23 Lecture 10/21/21: Ensembles + Regularization Lecture 10/21/21: Ensembles + Regularization	Lecture 10/21/21: Ensembles + Regularization Zoom Recording ID: 94347618999 UUID: Hg/UOyaZTFGi+ub+trRDtw== Meeting Time: 2021-10-21T13:31:18Z tree trees prediction model variance models loss thing gradient bootstrap samples predictions dataset regularization error learners idea function training values From Madeleine Udell 76 plays
01:32:04 2021 CIDA Symposium_"Smarter Food Safety… 2021 CIDA Symposium_"Smarter Food Safety through Data Sharing Among Food Businesses"	2021 CIDA Symposium_"Smarter Food Safety through Data Sharing Among Food Businesses" 2021 Cornell Institute for Digital Agriculture (CIDA) SymposiumSession 4: Smarter Food Safety through Data Sharing Among Food BusinessesOctober 11, 2021, 2:50pm-4:20pm Digital tools have a… food safety model lot models distribution chain sharing industry question supply samples learning problem differential thing martin agriculture epsilon farmers From Gabriela Cestero 7 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 114 plays