Artificial Intelligence for GATE 2025
Welcome to the complete tutorial on Artificial Intelligence for the GATE DA Exam. This guide will simplify the syllabus topics, making them accessible and straightforward to understand for all aspirants.
1. Introduction to AI and Search Algorithms
2. Logic in AI
3. Reasoning Under Uncertainty in AI
- Conditional Independence
- Representation of Uncertainty using Bayesian Networks
- Exact Inference: Variable Elimination
- Approximate Inference through Sampling
Official Syllabus of Artificial Intelligence for GATE DA
Here's the complete syllabus for Artificial Intelligence as per the GATE DA 2025 official notification:
- AI Search: informed, uninformed, adversarial
- Logic: propositional, predicate
- Reasoning under uncertainty topics: conditional independence representation, exact inference through variable elimination, and approximate inference through sampling
GATE DA (Data Science and AI) Subject Wise Weightage 2025
The subject-wise weightage for the GATE DA exam, based on analysis of previous years' exams, is as follows:
Subject | Number of Questions | Total Marks |
|---|---|---|
General Aptitude | 10 | 15 |
Probability and Statistics | 10 | 16 |
Linear Algebra | 6 | 10 |
Calculus and Optimization | 5 | 8 |
Programming, Data Structures and Algorithms | 13 | 21 |
Database Management and Warehousing | 6 | 8 |
Machine Learning | 8 | 11 |
Artificial Intelligence | 7 | 11 |
Total | 65 | 100 |
Tips For Candidates While Preparing for Artificial Intelligence in GATE Exams
- Master the Basics: Before tackling advanced AI topics, ensure a solid understanding of core principles like basic search algorithms and logic.
- Visual Learning: Many AI concepts, such as neural networks and Bayesian networks, are best understood visually. Try to sketch diagrams to visualize these concepts better.
- Practice Problem Solving: Applying AI techniques in practical scenarios can significantly enhance your understanding. Work on problems that involve implementing different AI algorithms.
- Simulate Exam Conditions: Frequently practice under timed conditions to better manage the pressure of the actual exam.
- Regular Revision: AI concepts can be intricate. Regular review is crucial to retain knowledge over extended periods.
This tutorial offers a comprehensive yet clear approach to mastering Artificial Intelligence for the GATE DA 2025 exam. By systematically breaking down each topic and explaining it in simple terms, you're set to excel in both your understanding and exam performance.
