IAI 5101 Foundations of Machine Learning for Scientists and Engineers
3 crédits
Intelligence artificielle interdisciplinaire
Faculte de genie
The capabilities and limitations of machine learning; problem formulation and requirement engineering; supervised and unsupervised learning techniques; designing, deploying, monitoring and evaluating machine learning models; assessing the results of learning; current advances in application areas such as engineering, science and health. Recommended prerequisite: No specific programming required, students should have taken an introduction to programming at the undergraduate level as well as linear algebra I & calculus II.
Volet:
Cours magistral
Exigences:
Terme proposées précédemment:
Hiver
Organisé
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