MGT 5301 Predictive analytics

3 units
Management
Telfer School of Management
Methodological foundation of predictive and machine learning methods and their applications in behavioral and marketing contexts. The principle of probabilistic modelling and the concept of Bayesian learning. The following methodological topics will be covered: generative models, Kernels, Gaussian models, Gaussian processes, graphical models, and deep learning models. Predictive analytics across a range of behavioral contexts including public health, social media, and digital marketing.

Components:

Seminar

Previously Offered Terms:

Fall
All Professors
A Average (9.033)
Most Common: A+ (40%)
30 students

P

S

NS

F

D

C

B

A-

A+

Jonathan Yu-Meng Li

2 sections from Fall 2023 to Fall 2024

A Average (9.033)
Most Common: A+ (40%)
30 students

P

S

NS

F

D

C

B

A-

A+

Rafid Mahmood

2 sections from Fall 2023 to Fall 2024

A Average (9.033)
Most Common: A+ (40%)
30 students

P

S

NS

F

D

C

B

A-

A+