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Course Listings » Fall 2023 » ENEL 645 - Data Mining & Machine Learning - Fall 2023

ENEL 645 - Data Mining & Machine Learning - Fall 2023

Types of data mining: classification, clustering, association, prediction. Processes: data preparation, model building. Techniques: decision tree, neural network, evolutionary computing, Bayesian network. Applications: multi-media, text and web mining.
This course may not be repeated for credit.

Hours

  • H(3-0)

Prerequisite(s)

  • Admission to the PhD in Electrical and Computer Engineering; or the MSc in Electrical Engineering; or MEng with specialization in Software Engineering and completion of Software Engineering for Engineers 692, 693 and 694.

Antirequisite(s)

  • Credit for Electrical Engineering 645 and 619.51 will not be allowed. Also known as: (Environmental Engineering 645)

Sections

  • LEC 1MF 11:00 - 12:15
This course will be offered next in Winter 2024.
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