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INT394 — Machine Learning Algorithms

Course Overview

INT394 3 Credits L:3 T:0 P:0 Minor AI / ML

Through this course students should be able to analyze foundational concepts and learning paradigms in machine learning, interpret classification techniques and probabilistic models, and understand regression and clustering algorithms for predictive modelling.

Unit 1

Foundations of Machine Learning

Unit 2

Classification

Unit 3

Non-parametric classification and Ensemble Models

Unit 4

Regression and Clustering

Unit 5

Reinforcement Learning

Unit 6

Model Complexity and Optimization

INT394 - FAQs

How many units are in INT394?

INT394 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for INT394?

Available resources include: ETE Mock Test.

How to prepare for INT394 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.