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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 7 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 31 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 50 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 5 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 62 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 15 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 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
01:23:23 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 73 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 5 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
01:00:56 AMR Fall Seminar Series AMR Fall Seminar Series	AMR Fall Seminar Series Zoom Recording ID: 93238092899 UUID: Rywch084RBSRp9s7m0poGw== Meeting Time: 2021-10-06T19:46:49Z phage antibiotics resistance bacteria phagocytes things model therapy infection antibiotic thing treatment infections models rate phagocytosis parameters density experiments hours From Elizabeth Goldberg 10 plays
40:18 Section 10/5/21: Generalization Section 10/5/21: Generalization	Section 10/5/21: Generalization Zoom Recording ID: 95071859677 UUID: TnmTC3VVQaKz+eKl3dxvxA== Meeting Time: 2021-10-05T18:41:27Z model regression validation training cross models test concept train linear sample california generalization size batch michigan point tree decision sense From Madeleine Udell 32 plays
01:30:57 Lecture 10/5: underdetermined least squares Lecture 10/5: underdetermined least squares	Lecture 10/5: underdetermined least squares Zoom Recording ID: 94347618999 UUID: 1fmcXhxQQqWFDI9P5S6wKg== Meeting Time: 2021-10-05T13:30:44Z error matrix times transpose validation model sigma sample solution thing svd columns test models class rank epsilon identity inverse problem From Madeleine Udell 100 plays
01:25:00 Lecture 9/16: Feature engineering Lecture 9/16: Feature engineering	Lecture 9/16: Feature engineering Zoom Recording ID: 94347618999 UUID: PFUsN12HSx6I3dkD0PuRBg== Meeting Time: 2021-09-16T13:28:20Z model linear function thing gradient training squares problem class points models problems descent feature error fit things fact test matrix From Madeleine Udell 138 plays