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INT394 Units

Practice

MACHINE LEARNING ALGORITHMS

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.

Study Units

Unit 1

Foundations of Machine Learning

Notes MCQ
Unit 2

Classification

Notes MCQ
Unit 3

Non-parametric classification and Ensemble Models

Notes MCQ
Unit 4

Regression and Clustering

Notes MCQ
Unit 5

Reinforcement Learning

Notes MCQ
Unit 6

Model Complexity and Optimization

Notes MCQ

Continuous Assessment

2 components

Test - Code based 1 50%

To make students understand the concepts of machine learning and its algorithms. This task will contain topics from Unit 1 and Unit 2.

Week 5 / 6
Test - Code based 2 50%

To make students understand the concepts of machine learning. This task will contain topics from Unit 3 and Unit 4.

Week 10 / 11

Exams & Practice

Mid Term Examination

Mid-semester comprehensive evaluation

20%

All MCQ

Coming Soon

End Term Examination

Final semester comprehensive evaluation

50%

Type: Examination

MCQ + Subjective

Mock Test

Quick Navigation for INT394

Unit 1 Notes Unit 2 Notes Unit 3 Notes Unit 4 Notes Unit 5 Notes Mock Test

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.