DTI 5125 Data Science Applications
3 crédits
Innovation et transformation numerique
Faculte de genie
Analysis and design of various data cleaning, wrangling, blending, and visualization, statistical inference, classification, clustering, regression, and content analysis methods. Use of machine learning algorithms to extract meaningful information from data to make decisions. Formulating analytics problems for business and developing, evaluating, and maintaining machine learning models. Analyzing, generating, and communicating insights on the models. Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools.
Volet:
Cours magistral
Exigences:
Terme proposées précédemment:
Automne
Hiver
Été