Winter school in machine learning
March 2, 2020
March 2 to 6, 2020
Machine learning is a study field of artificial intelligence making interaction of a set of computer and statistical tools that allow the computer to "learn" from data. Therefore, it can perform functions or automatically answer to the questions without explicit programming.
Because digital transformation is already underway, all activity sectors have to integrate these novel technologies into their business process in order to remain competitive. Techniques are continually improving and the need to skilled and trained professionals for this type of approach is growing exponentially. For the second time, and during an intensive and highly applied training week, the winter School will allow candidates to participate in their field projects and will furnish data necessary to continue this learning in their workplace, research or studies.
Participants will benefit from the expertise of professors and professionals of big data research center (BDRC) of Laval University, which will become an international pivot in the big data field. Participants will return with practical and applied knowledge of machine learning that will give them the confidence to make thoughtful strategic decisions and initiate changes in their organization.
Possible applications of machine learning in your professional activities:
- Risk management
- Orders and claims management, optimization of inventory levels
- Protection of personal data
- Customer knowledge (understanding his behaviors and his preferences)
- Detection of fraud and spam
- Autonomous conduct
- Adapting culture techniques to the weather forecast (agriculture sector)
- Predictive maintenance
- Smart voice support
- Voice recognition and handwriting
Local 2551, pavillon Adrien-Pouliot
1065 avenue de la Médecine
Québec, QC, G1V 0A6
418 656-2131, x: 402793
1 855 656-3897