IAI 5100 Foundations and Applications of Machine Learning
3 crédits
Intelligence artificielle interdisciplinaire
Faculte de genie
The capabilities and limitations of machine learning; problem formulation; supervised and unsupervised learning techniques; deploying, monitoring, and evaluating machine learning models; storytelling and assessing the results of learning; current advances in application areas such as business, law, arts, social sciences and education. Recommended prerequisite: Aptitude for analytics. Although no specific programming background is required, students should be comfortable with computing technologies.
Volet:
Cours magistral
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