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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 31 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 16 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 9 plays