Machine learning is an area of artificial intelligence that combines a set of computer science and statistical tools that enable the computer to “learn” from data. The computer can then perform tasks or answer questions automatically without explicitly requiring programming.
With the digital transformation well underway, all sectors should now integrate these new technologies into their business processes to remain competitive. Techniques are continually improving and the need for professionals trained in this approach is growing exponentially.
Already in its 4th edition, this training program will allow participants to take part in projects in their field and will provide them with the necessary background to continue learning as they pursue their research, work or studies.
This online edition of the School in Machine Learning allows participants to complete the training program entirely remotely at a pace that suits their schedule. In addition to benefitting from the teaching provided by professors from the Faculty of Science and Engineering, participants will benefit from support during practical exercises provided by a team of experts.
Participants will have access at all times to a contextual forum where they can interact with their peers and obtain feedback from instructors via a unique, distinctive learning platform developed within the Faculty. They will also be able to speak directly with our experts during the 5 live question sessions scheduled at different times during the training program. Participants will leave with a practical and applied knowledge of machine learning that will give them the confidence to make thoughtful strategic decisions and initiate change in their organization.
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