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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 57 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 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 54 plays
01:42:26 Lecture 11/9/21: Unsupervised learning (PCA) Lecture 11/9/21: Unsupervised learning (PCA)	Lecture 11/9/21: Unsupervised learning (PCA) Zoom Recording ID: 94347618999 UUID: i0nonjabSNqNawDsvIrVAQ== Meeting Time: 2021-11-09T14:28:43Z loss times entries problem matrix function rank column pca model vector entry thing linear feature values regression columns features sum From Madeleine Udell 103 plays
56:52 11.8.21 Jonathan Shafer, University of California… 11.8.21 Jonathan Shafer, University of California Berkeley	11.8.21 Jonathan Shafer, University of California Berkeley Zoom Recording ID: 97325240794 UUID: WdibhqUfR3CJI3DNJ4LmfA== Meeting Time: 2021-11-08T20:30:31Z learning algorithm function question gap class thing hypothesis bit tree lot sample dimension epsilon probability prover label output machine point From Jordan Staiti 6 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 125 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 122 plays
57:14 Section 11/23/21: optimization Section 11/23/21: optimization	Section 11/23/21: optimization Zoom Recording ID: 91739230861 UUID: v8lG4ne3RLytBr+lTovY4g== Meeting Time: 2021-10-27T15:17:37Z function expectation convex gradient star solution minus times term convergence functions definition method point k. step summation key problem linear From Madeleine Udell 6 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 65 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 84 plays
42:40 Section 10/13/21: Advanced scikit-learn Section 10/13/21: Advanced scikit-learn	Section 10/13/21: Advanced scikit-learn Zoom Recording ID: 95071859677 UUID: T29yk1x8Sr6W6XqR4hrTMQ== Meeting Time: 2021-10-13T15:19:21Z pipeline things column values hyperparameters model scikit columns bunch encoding kind lot test steps step function text hyperparameter idf guys From Madeleine Udell 28 plays
57:22 10.1.21 Zachary Teed, Princeton University 10.1.21 Zachary Teed, Princeton University	10.1.21 Zachary Teed, Princeton University Zoom Recording ID: 471873857 UUID: VErF+qyjSjiBrAonNwZ2Zw== Meeting Time: 2021-10-01T15:56:30Z optimization flow 3d network lot problem slam camera point motion images things pixels problems image function depth pixel resolution stereo From Jordan Staiti 23 plays
01:41:53 Lecture 9/30/21: Generalization Lecture 9/30/21: Generalization	Lecture 9/30/21: Generalization Zoom Recording ID: 94347618999 UUID: A1ObiUYZTTCQ122bMeokLw== Meeting Time: 2021-09-30T13:30:23Z sample probability error validation model hypothesis training thing samples things class test problem population percent dataset epsilon function distribution bit From Madeleine Udell 105 plays
01:21:13 Lecture 9/23: Feature engineering demo and deep… Lecture 9/23: Feature engineering demo and deep learning	Lecture 9/23: Feature engineering demo and deep learning Zoom Recording ID: 94347618999 UUID: yCXzltQzT6utWrVYWPVYNA== Meeting Time: 2021-09-23T13:32:05Z model dataset features class thing vector questions question reason things bit function stage cancer encoding columns values lot sentences dataframe From Madeleine Udell 93 plays
58:57 Section 9/21/21: Linear algebra and gradient… Section 9/21/21: Linear algebra and gradient descent	Section 9/21/21: Linear algebra and gradient descent Zoom Recording ID: 95071859677 UUID: nT8Aut2JRImFyH9dmksS/w== Meeting Time: 2021-09-21T18:31:09Z transpose times gradient function hm matrix column term kth x. implication star mm respect w. vector convex inverse side summation From Madeleine Udell 78 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 128 plays