MATH 60600A

Data Mining Techniques

Subject
Mathematics
Program
Master of Science (MSc)
Instruction mode
Credits
3
Description

This course introduces the main data mining and machine learning methods used in practice for the analysis of big data.

This course introduces the major data mining techniques used to analyze big data. Business intelligence technologies enable companies to analyze the large amount of data collected for their operations to, for example, better understand customer behavior in order to help anticipate demand or increase retention, reduce fraud, optimize preventive maintenance, etc.. Different data mining techniques, among the most widely used in practice, will therefore be presented and illustrated based on concrete examples in different management domains.

Themes covered

Classification and regression trees
Boosting and random forests
Neural networks
Model explanation and interpretation
Classification with imbalanced data
Uplift modeling and individual treatment effect estimation

Important notes
Course in French : MATH 60600
Cours mutuellement exclusif(s) : MATH 60603(A) Vous ne pouvez pas vous inscrire à ce cours si vous avez postulé ou réussi le cours MATH 60603(A), ou si le cours MATH 60603(A) fait partie de votre structure.

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