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:

All Professors
B Average (5.641)
Most Common: C+ (15%)
167 students

P

S

NS

F

D

C

B

A-

A+

Patrick Boily

Fall 2023 - A00

B Average (6.069)
Most Common: A (16%)
101 students

P

S

NS

F

D

C

B

A-

A+

Tanya Schmah

Winter 2023 - A00

C+ Average (4.985)
Most Common: C+ (18%)
66 students

P

S

NS

F

D

C

B

A-

A+