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:

Courses CSI 5155 , DTO 5100 , DTO 5101 , ELG 5255 , IAI 5100 , IAI 5101 , MIA 5100 , SYS 5185 cannot be combined for units.

Terme proposées précédemment:

Hiver
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Professeur Inconnus

Hiver 2024 - W00

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Olubisi Atinuke Runsewe

2 section de l'Hiver 2022 au l'Hiver 2023

Moyenne A (8.938)
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