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INT423 Units

MACHINE LEARNING-II

INT423 3 Credits L:2 T:0 P:2

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

1

Unit 1

View Notes Practice MCQ
2

Unit 2

View Notes Practice MCQ
3

Unit 3

View Notes Practice MCQ
4

Unit 4

View Notes Practice MCQ
5

Unit 5

View Notes Practice MCQ
6

Unit 6

View Notes Practice MCQ

Continuous Assessment

Test - Code based 50%
Project 50%

Exams & Practice

Mid Term Examination

Mid-semester comprehensive evaluation

20%
Coming Soon

End Term Examination

Final semester comprehensive evaluation

50%

Type: Examination

Coming Soon

Quick Navigation for INT423

Unit 1 Notes Unit 2 Notes Unit 3 Notes Unit 4 Notes Unit 5 Notes

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.