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Group1 duration 11 minutes 46 seconds Group1 Group1	Group1 point melting network graph flux input prediction phase oxide stoichiometry machine elements thing temperature melter fluxes script gradient couple series From James Overhiser 6 plays
06 Yanle Lu duration 3 minutes 23 seconds 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 80 plays
Supervised Learning in Python duration 1 hour 16 minutes Supervised Learning in Python Supervised Learning in Python	Supervised Learning in Python model learning tree models variables label machine variable training dataset step process prediction test performance relationship observation target regression cat From Zhe Xue 20 plays
Machine Learning 101 duration 50 minutes 46 seconds Machine Learning 101 Machine Learning 101	Machine Learning 101 learning model machine models lot language science text things processing questions prediction dataset workshop core nlp points words texts theory From Jacob Grippin 10 plays
Lecture 11/23/21: Fairness duration 1 hour 22 minutes Lecture 11/23/21: Fairness Lecture 11/23/21: Fairness	Lecture 11/23/21: Fairness Zoom Recording ID: 94347618999 UUID: LtywwXILSNi7U2TtJRw1tA== Meeting Time: 2021-11-23T14:32:59Z fairness credit accuracy model law rate groups algorithm thing prediction decision college things sort impact treatment decisions classifier notion discrimination From Madeleine Udell 138 plays
Lecture 11/4/21: Losses for classification and… duration 1 hour 30 minutes 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 164 plays
Section: post-hoc interpretability (LIME, SHAP) duration 45 minutes 40 seconds 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
Lecture 11/2/21: Loss functions duration 1 hour 51 minutes 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 177 plays
Lecture 10/21/21: Ensembles + Regularization duration 1 hour 23 minutes 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 89 plays
Lecture 10/14: Bootstrap and bias variance… duration 1 hour 26 minutes 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 168 plays
3.5.21 Shuran Song, Columbia University duration 1 hour 1 minute 3.5.21 Shuran Song, Columbia University 3.5.21 Shuran Song, Columbia University	3.5.21 Shuran Song, Columbia University Zoom Recording ID: 94765771101 UUID: 8uLIzu0jSJKr7ZhYXfgGCA== Meeting Time: 2021-03-05T16:19:45Z objects representation object network 3d kind action properties model interaction question interactions motion actions prediction robot talk step history understanding From Jordan Staiti 61 plays
Digital Life Seminar \| Congzheng Song duration 1 hour 9 minutes 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 22 plays
Johnson COVID-19: Macroeconomic Trends, Prof. Ori… duration 1 hour 0 minutes Johnson COVID-19: Macroeconomic Trends, Prof. Ori… Johnson COVID-19: Macroeconomic Trends, Prof. Ori Heffetz	Johnson COVID-19: Macroeconomic Trends, Prof. Ori Heffetz economic problems international relations banks unemployment federal funds rate prediction health care american investors started thinking global crises mathematical terminology restaurant terminology strategic management crisis caption complete long time systemic risk legal system management debit card transactions good thing economics terminology business terms business model open economy percent lower interest rates half percent inflation target local crisis normal days banking terms high risk business m.b.a. program legal terminology political terminology real interest rate operations of central banks interest rate public services forward guidance westminster system consumer theory military strategy central banks federal reserve system inflation percentage points entrepreneurship 1st thing payment systems exit strategy financial crisis global local crisis banking system economic crisis economic problem politics of new zealand percent inflation started talking banking monetary policy credit card transactions central bank credit card support demand labor market consumer demand From Safiyyah Abdul Hamid 16 plays
Johnson COVID-19: Where Are We Now, Prof. Ori… duration 1 hour 1 minute Johnson COVID-19: Where Are We Now, Prof. Ori… Johnson COVID-19: Where Are We Now, Prof. Ori Heffetz	Johnson COVID-19: Where Are We Now, Prof. Ori Heffetz emergency money social programs international relations unemployment job situation unemployment rate taxes collected situation worsens long time started recovering monthly data public good personal financial problems 20000000 jobs community building westminster system libertarian theory financial crisis political terms in the united kingdom demand side labor force credit card transactions security growth promoting policies health crisis health policy economic activity months earlier countries center u.s. economy government response economic theory m.b.a. program unemployment benefits great depression difficult question massive government goods industry started measuring emergency lifeline economic indicators upward pressure 1st quarter economic program crisis normal times radio spectrum great recession prediction models central banks monetary stimulus property rights market (economics) late march economic policy property health promotion 2nd quarter people decide people lose macro economy debit card moving average macro response percent economy free market health care caption complete systemic risk g.d.p. data extending unemployment crisis hit high frequency banking terms good news economy started macro economic organized crime activity payment systems credit card consumer expenditures capitalism stimulus package hotel school banks quotations embedded systems From Safiyyah Abdul Hamid 33 plays
Mathmatical Modeling Infectious Disease III duration 54 minutes 20 seconds 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 47 plays
Giles Hooker's Zoom Meeting duration 1 hour 13 minutes 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 78 plays