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X-WR-CALDESC:Events for IVADO
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DTSTART;VALUE=DATE:20190610
DTEND;VALUE=DATE:20190615
DTSTAMP:20260413T080943
CREATED:20190610T190138Z
LAST-MODIFIED:20190610T190607Z
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SUMMARY:Fin-ML/IVADO Workshop on finance and insurance\, members only
DESCRIPTION:Summary\nThe Fin-ML/IVADO Workshop is a one-week practical training in machine learning\, applied to concrete problems in finance and insurance. This workshop will consist of theory in the morning\, followed by problem-solving workshops in finance and insurance in the afternoon. \nThe workshop will be held in English. Participants will have to bring their laptops for the practical part\, no special installation is required. \n\n\n\n\nObjectives\n\nTrain professionals in new technologies in data science\, machine learning and operations research;\nDevelop an understanding of the challenges and issues of data science applied to a specific field;\nLearn to use computer tools to solve concrete problems;\nFoster knowledge sharing and facilitate networking among specialists in a particular field;\nEncourage interdisciplinary knowledge sharing.\n\n\n\n\n\n\n\n\n\n\n\nPrerequisites\nBasic knowledge of mathematics and programming (ideally Python) is strongly recommended. \n\n\n\n\nOrganizers\n\nManuel Morales\, Université de Montréal\nRheia Khalaf\, Université de Montréal / IVADO\nBrian Moore\, IVADO\n\n\n\n\n\nContact\nFor any inquiries\, please contact us at formations@ivado.ca. \n\n\n\n\n\n\n\n\nDates and place\nJune 10-14\, 2019: The workshop will be held in French at HEC Montréal (PWC\, Côte Ste-Catherine). \n\n\nPrerequisites\nBasic knowledge of mathematics and programming (ideally Python) is strongly recommended. \n\n\n\n\nOrganizers\n\nManuel Morales\, Université de Montréal\nRheia Khalaf\, Université de Montréal / IVADO\nBrian Moore\, IVADO\n\n\n\n\n\nContact\nFor any inquiries\, please contact us at formations@ivado.ca. \nMore info >>
URL:https://vieux.ivado.ca/en/events/atelier-finance-et-assurance-fin-ml-ivado-en-francais-membres-seulement/
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DTSTART;TZID=America/Toronto:20190610T080000
DTEND;TZID=America/Toronto:20190610T170000
DTSTAMP:20260413T080943
CREATED:20190610T173351Z
LAST-MODIFIED:20200205T153448Z
UID:13803-1560153600-1560186000@vieux.ivado.ca
SUMMARY:IVADO/Mila Deep Learning School (5th edition)
DESCRIPTION:Summary\nDeep learning is a machine learning technique that has significantly improved previous results in computer vision\, speech recognition\, machine translation and other areas. Many other areas are affected by this new technology\, or will be. In response to the interest generated by this technology\, and in response to training needs\, IVADO and Mila are offering a full week of training in English from September 9 to 13\, 2019 in Montréal. IVADO and Mila are also partnering with the UBC Data Science Institute to offer this training in Vancouver from December 2 to 6\, 2019. \n\n\n\n\nTarget audience\nThe content of this school is mainly aimed at industry professionals and SMEs with basic knowledge of mathematics and programming (engineers\, computer scientists\, statisticians\, technical project managers\, product managers\, systems engineers\, etc.)\, but professors and graduate students in science or engineering (mainly those who are not yet familiar with deep learning) may also find it interesting. \n\n\n\n\nPrerequisites\nA minimal knowledge of programming (ideally Python) and basic knowledge in mathematics (linear algebra\, statistics) is desirable. \n\n\n\n\nObjectives\nAt the end of the training week\, participants should be able to: \n\nUnderstand the basics and terminology related to deep learning\nUnderstand the methodology for carrying out a project in deep learning\nIdentify the types of neural networks to use to solve different types of problems\nGet familiar with deep learning libraries through practical and tutorial sessions\n\nMore info >>
URL:https://vieux.ivado.ca/en/events/13795/
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