Machine Learning
Machine Learning¶
Course Code: S1-25_AIMLCZG565
Semester: 1 (2025-26)
Category: Core Course
📚 Course Syllabus¶
📄 Download Course Handout (PDF)
📖 Recommended Resources¶
👨🏫 Recommended by Professor
Textbooks:
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Machine Learning - Tom M. Mitchell (McGraw-Hill)
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Pattern Recognition and Machine Learning - Christopher M. Bishop (Springer)
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Introduction to Data Mining - P. Tan, M. Steinbach, V. Kumar (Pearson)
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Research Papers:
- A Tutorial on Support Vector Machines for Pattern Recognition - C.J.C. Burges (Kluwer Academic Publishers)
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🌐 Community Recommended
📚 Books
🎥 Video Lectures
📄 Research Papers
- To be added later
- Key papers will be added as course progresses
📊 Lecture Slides¶
Module 1: Introduction to Machine Learning¶
Week 1-2: ML Fundamentals and Regression
📝 Notes Section¶
Add your personal notes here as you progress through the course
📄 Exam Papers¶
Previous Year Questions¶
To be added
Sample Questions¶
To be added
🎓 Assignments and Projects¶
Details to be added
Last Updated: October 2025