Search for tag: "features"

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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 36 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 83 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 77 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 143 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
01:27:21 Lecture 10/28/21: ControlBurn demo +… Lecture 10/28/21: ControlBurn demo + Regularization	Lecture 10/28/21: ControlBurn demo + Regularization Zoom Recording ID: 94347618999 UUID: O8jrxuxKSBqUUUCSd5BWBg== Meeting Time: 2021-10-28T13:32:27Z model regression ridge thing regularization predictions lasso features problem alice parameter lot trees values squares kind demo class bit max From Madeleine Udell 73 plays
01:28:11 Lecture 10/26/21: LASSO and ControlBurn Lecture 10/26/21: LASSO and ControlBurn	Lecture 10/26/21: LASSO and ControlBurn Zoom Recording ID: 94347618999 UUID: DOWdGQWHQ1mQDoEuHM2/Dw== Meeting Time: 2021-10-26T13:31:22Z features trees feature model tree kind depth lot problem solution error regularization regression ensemble age dataset thing norm lasso coefficients From Madeleine Udell 95 plays
01:34:33 Lecture 9/28/21: Train, test, validate Lecture 9/28/21: Train, test, validate	Lecture 9/28/21: Train, test, validate Zoom Recording ID: 94347618999 UUID: /0J2dL18TH6gEsvgK12PBw== Meeting Time: 2021-09-28T13:28:59Z model test training error validation dataset class hm accuracy thing homework lot cancer question things percent colon sort hypothesis mm features hospital cross From Madeleine Udell 80 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 118 plays
52:56 Taking Flight 7/13/2021 11:00am Taking Flight 7/13/2021 11:00am	Taking Flight 7/13/2021 11:00am bird birds class bit finch crown cooper guys lot picture module question questions tomorrow worksheet thing head features canvas thomas From Jennifer Davis 3 plays
01:14:49 4.16.21 Madeleine Udell, Cornell University 4.16.21 Madeleine Udell, Cornell University	4.16.21 Madeleine Udell, Cornell University Zoom Recording ID: 94765771101 UUID: PdHUv8VrQZK1vScIPYbP6g== Meeting Time: 2021-04-16T15:06:54Z dataset model machine learning features datasets hyperparameters rank models pipeline points matrix sort idea factorization optimization auto values problem description From Jordan Staiti 31 plays
01:07:59 3.19.21 Lucas Mentch, University of Pittsburgh 3.19.21 Lucas Mentch, University of Pittsburgh	3.19.21 Lucas Mentch, University of Pittsburgh Zoom Recording ID: 94765771101 UUID: VB8V4V3dSAGYQagtr1etgQ== Meeting Time: 2021-03-19T15:14:36Z kind features forest model paper things forests test thing lot trees signal models feature sort variables linear tests bit point From Jordan Staiti 48 plays
01:09:45 Digital Life Seminar \| Congzheng Song Digital Life Seminar \| Congzheng Song	Digital Life Seminar \| Congzheng Song model training machine models learning question attacks prediction features differential memorization adversary test accuracy predictions things provider pipeline fact task From Michael Byrne 18 plays
07:08 Lesson 22.4 The Subclass Hierarchy Lesson 22.4 The Subclass Hierarchy	Lesson 22.4 The Subclass Hierarchy Since every class other than object must be a subclass of another class, this can lead to some interesting “family trees” of classes. In this video we look at Kivy classes, and see how… button class label subclass widget documentation kivy features object script classes thing application module base screen app fonts things method From Hannah Lee 55 plays Content Categories Instructional Recordings Creation Date November 07, 2020 Creator 1 First Name Walker Creator 1 Last Name White Creator 1 Role Faculty or Staff Member Creator 1 NetID wmw2 Language Abkhazian Searchable Yes Searchable On Cornell Web Search
05:14 Lesson 22.3 The object Class Lesson 22.3 The object Class	Lesson 22.3 The object Class Every class must be a subclass of something, and that parent class goes inside of the parentheses. That means that the word object we have been using in all of class definitions is actually a class.… class object subclass underscore python attributes definition thing things parent folder tutor instance parentheses setters getters features purpose terminal classes From Hannah Lee 58 plays Content Categories Instructional Recordings Creation Date November 07, 2020 Creator 1 First Name Walker Creator 1 Last Name White Creator 1 Role Faculty or Staff Member Creator 1 NetID wmw2 Language English Searchable Yes Searchable On Cornell Web Search
58:55 10.30.20 Yuanzhi Li, Carnegie Mellon University 10.30.20 Yuanzhi Li, Carnegie Mellon University	10.30.20 Yuanzhi Li, Carnegie Mellon University Zoom Recording ID: 96548055743 UUID: 5xkVJ+JUQkC+i6vv+grMEw== Meeting Time: 2020-10-30T15:06:41Z layer learning layers network level learner features function correction degree a. feature k. target kernel accuracy learners networks theory process From Jordan Staiti 159 plays