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DTSTART;TZID=America/New_York:20160219T104500
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UID:5176-1455878700-1455883200@vieux.ivado.ca
SUMMARY:Optimiser les infrastructures du Cloud de Google (en anglais)
DESCRIPTION:Conférence de Brian Eck – Google\, États-Unis \nGoogle’s Cloud infrastructure consists of the servers\, network\, datacenters and software that run all of Google’s services like Search\, Gmail and Youtube as well as it’s fast growing external business\, Google Cloud Platform. We’ll discuss three case studies in optimizing this infrastructure\, covering challenges not only in solving the analytical problems but also in solving the business problems to reach real implementation and impact. Case studies will include some subset of: \n\nOptimizing build frequency for adding capacity to the network\,\nAnalyzing scenarios of metro network topology to inform strategy\, including cost implications of adjusting forecasts\,\nBuilding ‘forecast tolerant’ networks that buffer for fault-tolerance and forecast variation\,\nLow-cost methods of physical grooming on a city-level fiber infrastructure\,\nReducing stranded compute resources through simulation\,\nIncreasing resource utilization through statistical oversubscription.\n\nSéminaire du GERAD\nLe 19 Février 2016 de 10H45 – 12H00 \nSalle 4488\nPavillon André-Aisenstadt\nCampus de l’Université de Montréal\n2920\, chemin de la Tour Montréal QC H3T 1J4 Canada
URL:https://vieux.ivado.ca/evenement/optimiser-les-infrastructures-du-cloud-de-google-en-anglais/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
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DTSTART;TZID=America/New_York:20160122T160000
DTEND;TZID=America/New_York:20160122T170000
DTSTAMP:20260417T145523
CREATED:20160121T031418Z
LAST-MODIFIED:20160121T031418Z
UID:4340-1453478400-1453482000@vieux.ivado.ca
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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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160118T100000
DTEND;TZID=America/New_York:20160118T120000
DTSTAMP:20260417T145523
CREATED:20160114T014839Z
LAST-MODIFIED:20160114T022134Z
UID:4228-1453111200-1453118400@vieux.ivado.ca
SUMMARY:GERAD: Reverse Stackelberg games: Theory and applications in traffic control
DESCRIPTION:
URL:https://vieux.ivado.ca/evenement/gerad-reverse-stackelberg-games-theory-and-applications-in-traffic-control/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20150910
DTEND;VALUE=DATE:20150911
DTSTAMP:20260417T145523
CREATED:20160112T040644Z
LAST-MODIFIED:20190627T125128Z
UID:3890-1441843200-1441929599@vieux.ivado.ca
SUMMARY:Yoshua Bengio: Intelligence Artificielle Et Apprentissage Profond
DESCRIPTION:Conférence de Yoshua Bengio\, professeur en Intelligence artificielle\, titulaire au Département d’informatique et de recherche opérationnelle de l’Université de Montréal. \n 
URL:https://vieux.ivado.ca/evenement/yoshua-bengio-intelligence-artificielle-et-apprentissage-profond/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
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