Uniform-Cost Search (UCS) Algorithm Explained | AI & Machine Learning | Weighted Graph Search

🤖 Welcome to the Artificial Intelligence & Machine Learning (AI & ML) Tutorial Series! In this video, we learn Uniform-Cost Search (UCS), one of the most important Uninformed Search Algorithms used in Artificial Intelligence. Unlike Breadth-First Search (BFS), UCS considers the cumulative path cost instead of the number of levels. It always expands the node with the lowest total cost, making it suitable for weighted graphs and real-world optimization problems. 📚 Topics Covered ✅ Introduction to Uniform-Cost Search (UCS) ✅ Why UCS is Needed ✅ Weighted Trees and Weighted Graphs ✅ Path Cost g(n) ✅ Priority Queue (Min Heap) ✅ UCS Working Principle ✅ Node Expansion Based on Lowest Cost ✅ UCS Algorithm ✅ Advantages & Disadvantages ✅ UCS vs BFS ✅ Time & Space Complexity ✅ Real-World Applications Google Maps Navigation GPS Route Planning Robot Navigation Network Routing Cost Optimization Artificial Intelligence 🎯 Learning Outcomes After watching this video, you will be able to: ✔ Understand Uniform-Cost Search (UCS) ✔ Explain how UCS selects nodes ✔ Understand Priority Queue implementation ✔ Compare UCS with BFS ✔ Solve weighted graph search problems ✔ Apply UCS in AI applications 👨‍🎓 Who Should Watch? AI & ML Students Computer Science Students Engineering Students GATE Aspirants Placement Preparation Beginners in Artificial Intelligence 👍 If this video helped you: ✅ Like ✅ Share ✅ Subscribe 🔔 Turn on notifications for more AI & ML tutorials. 🔖 Hashtags #ArtificialIntelligence #MachineLearning #UniformCostSearch #UCS #SearchAlgorithms #WeightedGraphs #PriorityQueue #AI #AIML #ComputerScience #Algorithms #EngineeringStudents #LearnAI #GraphAlgorithms #Education