Machine Learning

This course prepares students to analyse the performance of machine learning models using appropriate evaluation metrics, and apply supervised and unsupervised learning algorithms to solve problems. Study materials: Algorithmic Foundations (AL), Artificial Intelligence (AI).

Topics

1. Machine learning model performance using appropriate evaluation metrics
2. Supervised and unsupervised learning algorithms for problem solving

Each course outcome derives from one programme outcome.

1. CPMK0801

   Students are able to analyse the performance of artificial intelligence models to solve problems in various domains

   CPL08
2. CPMK0802

   Students are able to apply artificial intelligence concepts to solve problems in various domains

   CPL08

CPL08

Analyse and implement artificial intelligence concepts to solve problems in various domains.

• IF25-22016 Artificial Intelligence · 3 credits · Semester 4