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Big data & mixed-integer (nonlinear) programming
22 January 2016 @ 16h00 - 17h00
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Andrea Lodi – Full professor, Canada Excellence Research Chair in Data Science for Real-Time Decision-Making, Polytechnique Montréal.
This conference is in english.
“In 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.” Prof. Andrea Lodi.