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DTSTART;TZID=America/New_York:20160122T160000
DTEND;TZID=America/New_York:20160122T170000
DTSTAMP:20260423T173031
CREATED:20160121T031418Z
LAST-MODIFIED:20160121T031418Z
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SUMMARY:Big data & mixed-integer (nonlinear) programming
DESCRIPTION:Andrea Lodi – Professeur titulaire\, Département de mathématiques et de génie industriel\, Polytechnique Montréal\, Canada\nConférence en anglais \nIn this talk I review a couple of applications on Big Data that I personally like and I try to explain my point of view as a Mathematical Optimizer — especially concerned with discrete (integer) decisions — on the subject. I advocate a tight integration of Data Mining\, Machine Learning and Mathematical Optimization (among others) to deal with the challenges of decision-making in Data Science. Those challenges are the core of the mission of the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” that I hold.
URL:https://vieux.ivado.ca/evenement/big-data-mixed-integer-nonlinear-programming/
LOCATION:UQÀM\, Pavillon Président-Kennedy\, Salle PK 5115\, 201\, avenue du Président-Kennedy\, Montreal\, québec\, Canada
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