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

85 responses

4.00

/ 5

strongly agree
48%
agree
25%
neither agree nor disagree
13%
disagree
7%
strongly disagree
7%
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Clear Expectations

85 responses

3.82

/ 5

strongly agree
46%
agree
20%
neither agree nor disagree
16%
disagree
6%
strongly disagree
12%
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75%
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Learned a Lot

85 responses

4.14

/ 5

strongly agree
55%
agree
19%
neither agree nor disagree
15%
disagree
6%
strongly disagree
5%
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Fair Assessments

85 responses

3.61

/ 5

strongly agree
31%
agree
31%
neither agree nor disagree
20%
disagree
7%
strongly disagree
12%
25%
50%
75%
100%