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ENEN645

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Data Mining & Machine Learning

Schulich School of Engineering EN - Schulich School of Engineering

Subject

ENEN - Environmental Engineering

Description

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.

Also known as: (Electrical Engineering 645)

Course Attributes

Fee Rate Group(Domestic) - B, Fee Rate Group(International) -D, GFC Hours (3-0)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

ENEN
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