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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 30 plays

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…

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ORIE Colloquium, 2014-04-08 - Cynthia Rudin, Sloan School of Management (MIT): Methods for Interpretable Machine Learning