MAT 3373 Methods of Machine Learning

3 units
Mathematics
Faculty of Science
Multivariate linear and polynomial regression, logistic regression, k-nearest neighbours. Regularization methods, Bayesian inference, naïve Bayes classification. Cross-validation, bootstrap. Tree-based methods. Principal component analysis. Clustering.

Components:

Lecture

Requirements:

Prerequisites: MAT 1341 , (( MAT 2371 , MAT 2375 ) or MAT 2377 or MAT 2379 ).

Previously Offered Terms:

Fall
Winter

French Equivalent:

Organized

52 responses

3.96

/ 5

strongly agree
48%
agree
25%
neither agree nor disagree
10%
disagree
10%
strongly disagree
8%
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Clear Expectations

52 responses

3.79

/ 5

strongly agree
48%
agree
15%
neither agree nor disagree
19%
disagree
2%
strongly disagree
15%
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75%
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Learned a Lot

52 responses

4.04

/ 5

strongly agree
52%
agree
21%
neither agree nor disagree
12%
disagree
10%
strongly disagree
6%
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75%
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Fair Assessments

52 responses

3.67

/ 5

strongly agree
37%
agree
25%
neither agree nor disagree
21%
disagree
4%
strongly disagree
13%
25%
50%
75%
100%