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INT423 — Machine Learning-Ii

Course Overview

INT423 3 Credits L:2 T:0 P:2 Minor Machine Learning

This course covers unsupervised learning concepts including K-Means and advanced clustering algorithms, anomaly detection methods, reinforcement learning principles such as MDPs and Deep Q-Networks, and the development of recommender systems.

Study Units

Unit 1

Introduction to Unsupervised Learning & K-Means

Notes MCQ
Unit 2

Advanced Clustering Techniques

Notes MCQ
Unit 3

Clustering Metrics

Notes MCQ
Unit 4

Foundations of Reinforcement Learning

Notes MCQ
Unit 5

Q-Learning & Deep Q- Networks

Notes MCQ
Unit 6

Recommender Systems

Notes MCQ

INT423 - FAQs

How many units are in INT423?

INT423 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for INT423?

Unit-wise notes and MCQ practice are available. Exam resources coming soon.

How to prepare for INT423 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.