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03:54:24 PARADIM JHU Data Meeting PARADIM JHU Data Meeting	PARADIM JHU Data Meeting computer data formal sciences psychometrics servers (computing) chemical elements networks xml technical communication big data d.f.t. writing metallurgy reducing agents communication drug discovery internet culture materials science data modeling building engineering computing terminology s.f. interoperability computer file formats a.p.i. scientific method data extraction data sets data warehousing micro structure nist problem solving data serialization formats python (programming language) models of computation crystallography particle physics medical terminology military tactics chemical properties research p.r. good things medicine japanese-language singers statistical charts and diagrams data analysis database theory f.t. statistical terminology visualization (graphic) database management systems cern methodology data expert r.p.i. negotiation mineralogy scientific techniques microscopes cybernetics n.s.f. learning data mining image processing statistics fiction human intensive information science accelerator physics python software artificial intelligence data points knowledge representation metals data collection condensed matter physics futurology machine learning jupiter notebooks data management theoretical computer science statistical data types processing internet slang x.m.l. sas hof computer graphics humanities application layer protocols computer vision computer science musical quintets mit south korean boy bands design of experiments literature metal model bioinformatics t.m. data application programming interfaces cooperatives windows-only free software dwb7 p.i. computer programming markup languages couple things databases integrated development environments From David Botsch on November 25th, 2018 80 plays
01:01:40 ORIE Colloquium, 2014-02-04 - John Duchi (UC… ORIE Colloquium, 2014-02-04 - John Duchi (UC Berkeley): Machine Learning: a Discipline of Resource Tradeoffs	ORIE Colloquium, 2014-02-04 - John Duchi (UC Berkeley): Machine Learning: a Discipline of Resource Tradeoffs Tuesday, February 4, 2014 at 4:15pm Upson Hall, B17 ORIE Colloquium: John Duchi (UC Berkeley) - Machine Learning: a Discipline of Resource Tradeoffs Joint colloquium with Computer Science. How can… memory hierarchy formal sciences statistical charts and diagrams computer memory mathematical logic computer programming ontology computing terminology systems theory engineering functional analysis reasoning data management spring 2014 functions and mappings numerical analysis measurement linear algebra statistics exponentials evaluation methods percent improvement order theory elementary arithmetic worst case first order methods los data set eng quality caption complete auxiliary sciences of history hierarchy standard algorithms sparse data gradient methods research methods user interface techniques learning algorithm high dimensional probability distributions theoretical computer science law learning gradient scientific method estimation theory mathematical and quantitative methods (economics) communication cybernetics optimization environmental science question computer science algorithms matrices artificial intelligence group processes statistical terminology distribution statistical data types constraint human rights vector calculus logic lower bound theory of computation logical consequence great question method decision theory on premise gradient step elementary mathematics data thing differential calculus computability theory probability theory computation problem algorithm mathematical terminology billion dimensions basic concepts in set theory mediasite oral communication p.j. machine learning From E. Cornelius on May 14th, 2018 62 plays
01:06:21 ORIE Colloquium, 2014-04-08 - Cynthia Rudin,… ORIE Colloquium, 2014-04-08 - Cynthia Rudin, Sloan School of Management (MIT): Methods for Interpretable Machine Learning	ORIE Colloquium, 2014-04-08 - Cynthia Rudin, Sloan School of Management (MIT): Methods for Interpretable Machine Learning Tuesday, April 8, 2014, 253 Rhodes Hall Abstract: It is extremely important in many application domains to have transparency in predictive modeling. Domain experts do not tend to prefer "black… demographics probability theory consumer behaviour statistical terminology emerging technologies ring theory data mining computer programming nursing statistical theory apocalypticism decision theory machine learning actual function hand side patient statistical models caption complete support factor engineering justification real data eng cybernetics risk production economics military science polynomials medical terminology electric power distribution pharmacology formal sciences medical treatments functional analysis false negatives number theory law enforcement search engines on premise cardiology point scoring system cognitive psychology philosophical logic sets permit tac toe mediasite p.i.r. statistical data types high blood age categories spring 2014 artificial intelligence model good points companies listed on nasdaq actuarial science false positives fictional robots predictive model learning blood pressure economics of uncertainty subjective experience u.c.l.a. high blood pressure systems theory disasters tic tac hard problem databases aging-associated diseases From E. Cornelius on May 14th, 2018 25 plays
01:10:25 ORIE Colloquium, 2014-12-19 - Nathan Kallus: From… ORIE Colloquium, 2014-12-19 - Nathan Kallus: From Predictive to Prescriptive Analytics	ORIE Colloquium, 2014-12-19 - Nathan Kallus: From Predictive to Prescriptive Analytics Many operational problems in data-rich environments can be characterized by three primitives: data on uncertain quantities of interest such as simultaneous demands, concurrent auxiliary data such as… theory of probability distributions process statistical data types mediasite quantity statistical charts and diagrams management retailing commercial item transport and distribution data collection republics caption complete machine estimation theory basic concepts in set theory geodesy design of experiments uncertainty question liberal democracies decision microeconomics time-based economics manufacturing point production databases supply chain management functions and mappings operations research real analysis on premise macroeconomics data point assumption mit statistical terminology data analysis production economics application principles logistics location industry supply chain analytics elementary mathematics web 2.0 thing u.s. econometrics artificial intelligence video games probability theory learning fall 2014 approach x.. non-parametric statistics problem point stuff knowledge film loss functions regression analysis film and video terminology predictive optimization regression marketing machine learning livestock decision trees review websites iso basic latin letters futurology distribution eng cybernetics and uncertainty accountancy business films actuarial science information systemic risk production and manufacturing operation economics terminology costs generally accepted accounting principles supply chain management terms optimal decisions geometry measure theory business intelligence decision theory and wholesaling statistical theory polynomials time series analysis From E. Cornelius on May 4th, 2018 163 plays
01:03:39 CAM Colloquium: Peter Frazier - Optimal Learning… CAM Colloquium: Peter Frazier - Optimal Learning for Molecular Discovery	CAM Colloquium: Peter Frazier - Optimal Learning for Molecular Discovery Scientists use laboratory experiments to search for molecules with desirable properties, e.g., that make efficient solar cells; or that cure cancer. The success of such a search hinges on making… number evaluation methods method artificial intelligence statistical data types chemistry probability theory distribution recommendation data algorithms thing music reaction engineering collaborators advertising mediasite eng molecular modelling software research molecular biology learning data analysis protein project proteins problem musical quintets error probability musical trios decision theory human communication nutrition auxiliary sciences of history function measurement systems theory performing arts statistical models quality position biological systems model packaging materials optics classification computer vision experiment caption complete elementary arithmetic management business question machine learning peptide research methods life prediction on premise fall 2014 scientific modeling optimization information systems cybernetics statistical theory japanese rock music groups statistics mathematical sciences applied mathematics larger protein b.z. scientific method approach formal sciences decision design of experiments peter frazier cornell orie cam colloquium From E. Cornelius on May 4th, 2018 6 plays
01:04:48 ORIE Colloquium, 2013-02-05 - Guy Lebanon:… ORIE Colloquium, 2013-02-05 - Guy Lebanon: Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity	ORIE Colloquium, 2013-02-05 - Guy Lebanon: Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity ORIE Colloquium: Guy Lebanon (Georgia Tech) - Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity Tuesday, February 5, 2013 at 4:15pm Frank H. T. Rhodes… grammar multivariate statistics dimension probability theory caption complete fiction incompleteness problem approximation conditionals real estate terminology preference machine learning observation topology functional analysis items statistical data types ranking neuroscience compute abstract algebra on premise statistical models probability randomness estimate data points eng m.s.t. network analysis statistics exponentials number video thing applied mathematics cloud computing providers psychology elementary mathematics computation statistical charts and diagrams functions and mappings mathematical terminology neuropsychological assessment factorial and binomial topics movie mathematical notation military ranks decision theory likelihood attention distribution statistical theory artificial intelligence mediasite general topology statistical terminology spring 2013 competition point combinatorics gamma and related functions model arithmetic recommendation permutation computer data bayesian statistics estimation theory kill bill war property basic concepts in set theory From E. Cornelius on April 30th, 2018 18 plays
01:03:48 ORIE Colloquium, 2012-09-20 - Stephen Boyd… ORIE Colloquium, 2012-09-20 - Stephen Boyd (Stanford University): Convex Optimization: From Embedded Real-Time to Large-Scale Distributed	ORIE Colloquium, 2012-09-20 - Stephen Boyd (Stanford University): Convex Optimization: From Embedded Real-Time to Large-Scale Distributed Stephen Boyd (Stanford University) - Convex Optimization: From Embedded Real-Time to Large-Scale Distributed Thursday, September 20, 2012 at 3:00pm Upson Hall, B17 Convex optimization has emerged as… cognitive science probability theory data center machine learning industrial processes formal sciences image processing computer graphics problem instance learning research methods programming language implementation high level control real reason statistics mathematical terminology information theory of probability distributions signal processing fall 2012 thing on premise mathematical analysis auxiliary sciences of history vector machine philosophy matrices computational problems mixed reality data analysis distributed computing architecture eng reasoning mediasite operations research linear algebra real time chemical processes networks probability distributions industry evaluation computer vision support vector machines problem c.b.x. caption complete linear programs good news primitive types mathematical and quantitative methods (economics) floating point telecommunication theory statistical data types scientific method compiler construction solve optimization method mathematical optimization big deal number measurement estimation theory internet privacy cryptography elementary algebra grad student cybernetics total variation big data programming constructs statistical terminology equations bayesian statistics people database management systems convex optimization data management energy conversion semi definite philosophical terminology variable thought algebra global solution From E. Cornelius on March 20th, 2018 48 plays
01:03:39 CAM colloquium, 2014-10-31 - Peter Frazier:… CAM colloquium, 2014-10-31 - Peter Frazier: Optimal Learning for Molecular Discovery	CAM colloquium, 2014-10-31 - Peter Frazier: Optimal Learning for Molecular Discovery experiment probability approach error nutrition machine learning applied mathematics subjects taught in medical school data collaborators engineering optimization cam protein systems theory classification business method statistical theory reaction mathematical terminology cornell recommendation larger protein formal sciences peptide chemistry public relations cybernetics life research methods mathematical sciences organic chemistry data analysis performing arts design of experiments research prediction molecular modelling software caption complete scientific method learning position human communication amino acid model proteins artificial intelligence biotechnology management thing auxiliary sciences of history labour law statistical data types advertising algorithms elementary arithmetic decision function statistics molecular biology peter frazier project information systems problem scientific modeling question measurement evaluation methods quality knowledge representation probability theory biological systems packaging materials statistical models distribution decision theory fluorescent number optics From E. Cornelius on June 28th, 2017 4 plays