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📋 Exam Syllabus
Research Methodology
Probability and Statistics
Linear Algebra
Multivariable Calculus
Machine Learning Fundamentals
Deep Learning Basics
Python Programming
C++ Programming
Data Structures and Algorithms
Artificial Intelligence Concepts
Computer Science Engineering Basics
Scientific Computing
Technical Research Writing
Research Paper Analysis
Technical Interview Preparation
Communication and Presentation Skills
Current Trends in AI and Research
📖 Exam Preparation Notes
1️⃣ Book List with Title and Author
Artificial Intelligence – Stuart Russell & Peter Norvig
Machine Learning – Tom M. Mitchell
Pattern Recognition and Machine Learning – Christopher Bishop
Introduction to Algorithms – Thomas H. Cormen
Python Programming – Reema Thareja
Probability and Statistics – Sheldon Ross
Linear Algebra and Its Applications – Gilbert Strang
