IRM 4004
Applied Machine Learning and Big Data Analytics
Introduction to Machine Learning and Big Data Analytics. Topics include: Association Rule Mining, Classification, Clustering, Linear and Logistic Regression, Distributed File System, Batch and Stream Data Processing, and other related. Applications on other domains such as multimedia, networks, finance, and/or business.
Topics
- Association Rule Mining
- Classification
- Clustering
- Linear and Logistic Regression
- Distributed File System
- Batch and Stream Data Processing
- other related
Course catalogue
Prerequisites & course information
Prerequisite(s): IRM 3006 . Lectures three hours a week.
Sources
- Course catalogue ↗2026–2027