CSI 4145 Machine Learning

3 units
Computer Science
Faculty of Engineering
Basic concepts of machine learning. Essentials of mathematics. Supervised learning. Unsupervised learning. Reinforcement learning. Algorithms for regression, classification, density estimation, and clustering.

Components:

Lecture

Requirements:

Prerequisites: MAT 1341 , (( MAT 2371 , MAT 2375 ) or MAT 2377 ) and 12 course units in CSI or SDS at the 3000 level.

Previously Offered Terms:

Winter

French Equivalent:

All Professors
B+ Average (6.827)
Most Common: A+ (44%)
52 students

P

S

NS

F

D

C

B

A-

A+

Tommaso Cesari

Winter 2024 - A00

B+ Average (6.827)
Most Common: A+ (44%)
52 students

P

S

NS

F

D

C

B

A-

A+