Search for tag: "points"

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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 on November 18th, 2021 47 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 on November 16th, 2021 53 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 on November 15th, 2021 3 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 on November 11th, 2021 52 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 on November 10th, 2021 7 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 on November 4th, 2021 123 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 on November 3rd, 2021 8 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 on November 2nd, 2021 118 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 on October 19th, 2021 99 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 on October 14th, 2021 84 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 on October 5th, 2021 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 on October 4th, 2021 11 plays
51:05 9.27.21 Karthik, C.S., Rutgers University 9.27.21 Karthik, C.S., Rutgers University	9.27.21 Karthik, C.S., Rutgers University Zoom Recording ID: 97325240794 UUID: uGX8gmYOT5KQA4cPGi+Ozw== Meeting Time: 2021-09-27T19:29:13Z problem pair color neighbors algorithm points approximation class polynomials size intersection graphs question degree sets graph polynomial vertex log n. fact vertices From Jordan Staiti on September 28th, 2021 14 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 on September 16th, 2021 128 plays
36:16 PARADIM DFT Summer School 2021 - Practical… PARADIM DFT Summer School 2021 - Practical Lecture 5	PARADIM DFT Summer School 2021 - Practical Lecture 5 PARADIM DFT Summer School 2021 - Practical Lecture 5 - Betül Pamuk band points calculation bands structure gamma fermi point input valence silicon smearing energy output calculations field surface gap cutoff copper From Brenda Fisher on July 17th, 2021 35 plays
01:12:04 PARADIM DFT Summer School 2021 - Theory Lecture… PARADIM DFT Summer School 2021 - Theory Lecture 5.1	PARADIM DFT Summer School 2021 - Theory Lecture 5.1 PARADIM DFT Summer School 2021 - Theory Lecture 5.1 - Band Structures & Optical spectra - Feliciano Giustino point energy function electron bit things orbitals thing points wave electrons zone structure equation transitions eigenvalues bandgap question surface silicon From Brenda Fisher on July 17th, 2021 36 plays