Search for tag: "regression"

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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 52 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 106 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 126 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 124 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 56 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 75 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 29 plays
01:42:19 Lecture Lecture	Lecture Zoom Recording ID: 94347618999 UUID: 8pyZZPPfROKgIVG2LboD6g== Meeting Time: 2021-09-07T13:28:08Z hm things mm times problem vector question class transformations space thing linear lot regression feature questions week numbers zoom answer From Madeleine Udell 149 plays
01:05:42 5.7.21 Vasilis Syrgkanis, Microsoft Research 5.7.21 Vasilis Syrgkanis, Microsoft Research	5.7.21 Vasilis Syrgkanis, Microsoft Research Zoom Recording ID: 94765771101 UUID: Ax+kSXWHRC+Z7Ex1ALMJqg== Meeting Time: 2021-05-07T15:02:41Z function instrument problem treatment effect hypothesis moment space regression loss functions complexity root rate error model paper outcome rates fact From Jordan Staiti 13 plays
01:04:20 ORIE Colloquium: Constantine Caramanis… ORIE Colloquium: Constantine Caramanis (University of Texas at Austin), April 6, 2021	ORIE Colloquium: Constantine Caramanis (University of Texas at Austin), April 6, 2021 “MLE and the EM algorithm for Mixtures: Minimax Results” The Expectation-Maximization (EM) algorithm is a widely used tool for computing the maximum likelihood estimator (MLE) in… mixture point em story samples algorithm event sample problem likelihood rate regression complexity root things events kind separation words distance From Henry Lam 7 plays
01:04:23 PAM 6810 Prosem Parfait Eloundou-Enyegue PAM 6810 Prosem Parfait Eloundou-Enyegue	PAM 6810 Prosem Parfait Eloundou-Enyegue Zoom Recording ID: 91827104662 UUID: hK217dkcRveQ9kXsSk87Ig== Meeting Time: 2020-12-04T16:41:42Z methods decomposition population change analysis question method sort regression age lot demographers picture mortality questions things groups outcome problems bit From Meg Cole 5 plays
54:20 Mathmatical Modeling Infectious Disease III Mathmatical Modeling Infectious Disease III	Mathmatical Modeling Infectious Disease III Our third and final session will have two presentations “Prediction of hospital demand from the COVID-19 death curve: IHME Model” and “Molecular epidemiology of SARS-Cov-2: what… cumulative death curve differential equations constant rate evolutionary relationships normal distribution evolutionary biology reasoning evolutionary process york sample phylogenetics statistical model death ratio short term switch gears outbreak started model based daily death april 2nd evolution grammar reported deaths cognition weighting schemes demography upper bound death curve statistical inference sociology of culture percent prediction mutation rate scientific modeling distancing measure measurement bell shaped curve hospital resource multiple time genetics statistical theory pretty stable mutation statistical charts and diagrams april 5th statistical terminology parameter estimates concepts in epistemology hospital beds data point epidemiology geometry time points tree structure logic confidence interval scientific classification multiple introductions containment strategy pathogen genome business closures population ecology social distancing evidence based sociological terminology medical statistics 1000000 people generic top-level domains real data logical consequence cumulative death rate common ancestor narrow uncertainty population experimental physics i.c.u. beds death rate holdout data performance white house molecular clock north dakota regression analysis model structure predicted interval curves concepts in logic long term level data maximum level social distancing measure red circle caption complete death reporting shaped curve algebra march 30th sources of knowledge elementary arithmetic maximum rate cumulative death big criticism york city uncertainty interval council of european national top level domain registries members elementary mathematics statistical models From Dave Frank 37 plays Creation Date April 24, 2020
01:13:17 Giles Hooker's Zoom Meeting Giles Hooker's Zoom Meeting	Giles Hooker's Zoom Meeting nice sort computer data classification decision tree regression analysis number cost probability crime rate mathematical logic split point mathematical terminology machine learning decision theory caption complete statistics predicted values data point systems theory potential break split forest fires scientific method systems data point super efficient statistical terminology estimation theory prediction oxides knowledge representation nitric oxide missing values code area hard coding decision trees multiple ways linear algebra recursive version highly variable value linear regression data set thing computer programming gjh27 metaphors From Giles Hooker 57 plays
01:06:06 Improving Food and Nutritional Security for the… Improving Food and Nutritional Security for the Global South: The Genetic Improvement of Maize and Cassava with Smallholder Farmers	Improving Food and Nutritional Security for the Global South: The Genetic Improvement of Maize and Cassava with Smallholder Farmers Prof. Mike Gore, College of Agriculture and Life Sciences, December 17, 2017 hydrocarbons orange high castles cloud points g.p.s. coordinates dark orange technology called breeding cycle bioinformatics population genetics tall peak sub-saharan africa g.p.s. german musical groups country classifications food colorings agronomy psychoanalysis medical terminology long time higher amount large amount genetics ancient recombination economics terminology plant physiology vitamins chemical properties breeding programs health health sciences cotton plant human beings breeding smaller farmer antioxidants metabolism ground vehicle nutrition fortified food caption complete plant reproduction molecular biology orange color carotenoids statistical terminology chromatography repression model human geography nutritional quality biosynthesis gas pedal regression model biomolecules great point great question public high schools in michigan disease lesion beta carotene commercial fortification canopy temperature molecular genetics hydrology white brain statistical charts and diagrams transpiration rate genetic marker metadata food science mapping resolution plant breeding demography controlling variation biotechnology cotton ball a.b.a. vision From Jennifer Wright 6 plays
01:04:58 ORIE Colloquium, 2018-10-29 - Jinchi Lv: Is Deep… ORIE Colloquium, 2018-10-29 - Jinchi Lv: Is Deep Learning a Black Box Statistically?	ORIE Colloquium, 2018-10-29 - Jinchi Lv: Is Deep Learning a Black Box Statistically? Title: Is Deep Learning a Black Box Statistically? Abstract: Deep learning has benefited almost every aspect of modern big data applications. Yet its statistical properties still largely remain… economics ejc85 formal sciences classification people simple communication concepts in physics actuarial science years f.d.r. engineering real life cybernetics rooms learning american teen comedy films mathematical terminology surgery machine learning quality orie caption complete logic information calendar eras statistics human communication types of travel airline tickets internet privacy question feature systems theory research methods regression analysis information science reproducibility collaborator jinchi lv medical terminology pretty good group theory reasoning cornell tech sociology index cryptography laboratory techniques class statistical terminology subspace essentially anthropology logical consequence rings basically representation high level building materials model project management classroom physical quantities picture scientific method grammar primitive types american dance music groups black box education theories b.c. evaluation methods mental structures laboratory equipment computer programming auxiliary sciences of history correlation management problem From E. Cornelius 191 plays
47:19 27 - Curve fitting and the inner product Session… 27 - Curve fitting and the inner product Session 27	27 - Curve fitting and the inner product Session 27 2009-03-27 09:08:51+00 analytic geometry research methods c.. videonote latin alphabet problem solving engineering solve projection numerical analysis numeral systems arithmetic concepts in physics number property communication abstract algebra colloidal chemistry formal sciences least squares statistics philosophical terminology audio engineering x.. data elementary mathematics functions and mappings elementary special functions linear algebra y.. vector mathematical notation numerical linear algebra matrices equal equation plotting software matrix sound thing measurement caption complete b.. problem statistical terminology product algebra square mathematical sciences polynomials equations solution ontology geometry logic meaning (philosophy of language) data point data analysis software function vowel letters data management topology column perpendicular educational psychology point elementary algebra operations research length question semantics mathematical analysis transpose physics software mathematical optimization spring 2009 regression analysis linear operators in calculus trigonometry group theory From mjp337@cornell.edu 31 plays