Learning Path:

1. Heuristic Search Techniques:

   • Resources:
     • [AI: A Modern Approach by Stuart Russell and Peter Norvig (Chapter 3-4)]
     • Heuristic Search - GeeksforGeeks
   • Notes: Definitions, algorithm properties, and example problems.

2. Constraint Satisfaction Problem (CSP):

   • Resources:
     • CSPs - Stanford University
     • Constraint Satisfaction Problems - GeeksforGeeks
   • Notes: Describe CSPs, methods to solve them, and practical examples.

3. Beyond Classical Search:

   • Resources:
     • Advanced Search Techniques - Medium
     • [AI: A Modern Approach by Stuart Russell and Peter Norvig (Chapter 4-5)]
   • Notes: Explain local search, continuous spaces, and handling uncertainty.

---

Link to original note: AI-Learning ResourcesAI-Learning ResourcesTo help you gain a deep understanding of Artificial Intelligence (AI), we'll create a structured learning path based on the provided syllabus. The plan includes a detailed breakdown of each unit, along with recommendations for resources such as research papers, blogs, articles, videos, and other multimedia content. Additionally, we'll suggest methods for annotating and making notes to optimize your learning experience. Unit I - Introduction to AI * Topics1 * Learning Path1 * Multimedia Content