Software Engineering for Machine Learning Apps: From Code to Production

Fondé par l’Université de Montréal, HEC Montréal et Polytechnique Montréal, IVADO a pour vocation de regrouper professionnels de l’industrie et chercheurs académiques afin de développer une expertise de pointe dans les domaines de la science des données, de la recherche opérationnelle et de l’intelligence artificielle. Concrètement, IVADO incite aux échanges et au partage de connaissances entre les spécialistes, les partenaires, les chercheurs et les étudiants de son réseau. IVADO se veut être le pont entre les diverses expertises universitaires et les besoins des entreprises, de la multinationale à la start-up. Avec plus de 1000 scientifiques affiliés (chercheurs, postdocs, doctorants et agents de recherche), IVADO constitue un centre de compétences avancées et multidisciplinaires dans les domaines des statistiques, de l’intelligence d’affaires, de l’apprentissage profond, des mathématiques appliquées, de la fouille de données et de la cybersécurité.

IVADO |  Université de Montréal - HEC Montréal - Polytechnique Montréal

HEC Montréal

Thank you for purchasing your ticket for this workshop part of the IVADO Training program.
Looking forward to see you there!
IVADO Team

Monday March 2 to Friday March 6 20209am - 4pm(arrive at 8:30 on Monday)This workshop is part of the Data - Break Workshops Series which will take place during Spring Break. Participants will have the choice to participate in one of 2 specialized Workshops occurring simultaneously. You have 8 to 14 year old kids? See lower, our workshop just for them! Traditional software engineering techniques are inadequate for designing machine learning based systems. This workshop is organized in response to the interest generated by machine learning, and in response to training needs in this field. 
*The prices include lunch and coffee breaks every day.
** All IVADO members beneficiate from the 33% . Check with your manager for promotional codes. 
***This workshop is accredited by the Scale AI program which offers a rebate on the professional price. If you are eligible, you will get 25% off and if you are also an IVADO member you will get 50% off. 
Am I eligible?

To receive the grant as an individual, you must meet the following eligibility criteria: 
 work for a company registered in Quebec (NEQ) 
 be employed in Quebec

 be enrolled in a digital intelligence training program accredited by SCALE AI, offered by a

nonprofit organization, a CEGEP or a university.

AND you must not work for: 
 a ministry OR organization of the Quebec government whose personnel is appointed and

remunerated under Quebec’s Public Service Act 
 a political party or association

 a department or an organization under federal government jurisdiction

 a company whose operations have been interrupted by a labour dispute (strike or lockout) 
 a company that has not fully repaid a debt previously contracted with Emploi-Québec or the

Ministère de l’Emploi, de la Solidarité sociale et de la Famille, unless the t respects a written

repayment agreement with the Ministère or Emploi-Québec.Check with your manager for all applicable promo codes For more information on this workshop, please click <a href="https://ivado.ca/formations/ateliers/applications-en-genie-logiciel-pour-apprentissage-automatique-du-code-a-la-production/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a> .For the kids !Notice to parents who wish to attend this workshop! We are collaborating with Kikicode as part of the IVADO Data - Break Workshops to offer you the opportunity to register your children for a code and robotics workshop specially designed for kids (8 to 14 years old). This workshop will take place at the same address and at the same time as this event. Go to the Kikicode website for more information and the registration procedure : <a href="https://www.kikicode.ca/inscription-camps?lang=en" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Register your kids! </a>

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Software Engineering for Machine Learning Apps: From Code to Production

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