Artificial Intelligence (Complete Playlist)
Unlock AI Mastery: Explore Algorithms & Techniques with Gate Smashers!
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What you'll learn
- Understand the principles of various search algorithms in artificial intelligence.
- Apply heuristic techniques to solve complex problems effectively.
- Analyze and implement logic-based reasoning and knowledge representation.
- Explore the concepts and applications of probabilistic inference and uncertainty reasoning.
This course includes
- 10 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 60 lessons • 10 hours of video
Comprehensive Guide to Artificial Intelligence Techniques
60 lessons
• 10 hours
Comprehensive Guide to Artificial Intelligence Techniques
60 lessons
• 10 hours
- Lec-1: Artificial Intelligence Syllabus Discussion and Analysis for NTA UGC NET 11:26
- Lec-2: What's the FUTURE of Artificial Intelligence in 2025 04:30
- Lec-3: What is Artificial Intelligence | Learn AI with Real Life Examples | Can Machine Think?? 08:31
- Lec-4: What is State Space Search | Introduction to Problem Solving in Artificial Intelligence 10:47
- Lec-5: Uninformed Vs Informed Search in Artificial Intelligence with Example 08:17
- Lec-6: Informed vs Uninformed vs Adversarial Search With Examples | Artificial Intelligence 06:23
- Lec-7: Breadth First Search (BFS) with example | Uninformed Search | Artificial Intelligence 12:57
- Lec-8: Depth First Search (DFS) with example | Uninformed Search | Artificial Intelligence 09:13
- Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence 07:58
- Lec-10: Bidirectional Search Algorithm in Artificial Intelligence in Hindi with Real Life Examples 08:47
- Lec-11: Best First Search Algorithm | How it Works | All Imp Points(Pros & Cons) 14:41
- Lec-12: Depth-Limited Search (DLS) Explained | Uninformed Search in AI 13:11
- Lec-13: Iterative Deepening Depth-First Search (IDDFS) | Artificial Intelligence 05:11
- Lec-14: 8-Puzzle Problem in Artificial Intelligence without Heuristic | All Imp Points | Must Watch 11:05
- Lec-15: What is Heuristic in AI | Why we use Heuristic | How to Calculate Heuristic | Must Watch 12:57
- Lec-16: How to Solve 8-Puzzle Problem with Heuristic(Informed Search) in Artificial Intelligence 11:07
- Lec-17: Generate and Test Search in Artificial Intelligence with Examples | Heuristic Search 07:58
- Lec-18: Beam Search Algorithm | All Imp Points | Heuristic Search Techniques 12:02
- Lec-19: Hill Climbing Algorithm in Artificial Intelligence with Real Life Examples| Heuristic Search 10:14
- Lec-20: A* algorithm in AI (artificial intelligence) in HINDI | A* algorithm with example 14:34
- Lec-21: How to Proof A* Admissible| Underestimation & Overestimation of A* in Hindi 12:25
- Lec-22: AO* algorithm in AI (artificial intelligence) in HINDI | AO* algorithm with example 13:24
- Lec-23: Introduction to Game Playing | Learn Game Playing Algorithms with Example 07:07
- Lec-24: Minimax Algorithm in Game Playing | Artificial Intelligence 12:29
- Lec-25: Alpha Beta Pruning in Hindi with Example | Artificial Intelligence 16:21
- Lec-26: Knowledge Representation and Reasoning | Logic, Semantic Net, Frames etc. 07:44
- Lec-27: Propositional Logic in Artificial Intelligence | Knowledge Representation | All Imp Points 12:20
- Lec-28: Introduction to Intelligent Agents and their types with Example in Artificial Intelligence 11:10
- Lec-29: Simple Reflex Agent in Artificial Intelligence with Example | Artificial Intelligence 09:04
- Lec-30: Model Based Reflex Agent in Artificial Intelligence in HINDI with Real Life Examples 07:15
- Lec-31: Goal Based Agents in Artificial Intelligence with real life examples in HINDI 05:28
- Lec-32: Utility Based Agents in Artificial Intelligence in Hindi with real life examples 05:35
- Lec-33: Fuzzy Logic in Artificial Intelligence with Example | Artificial Intelligence 13:03
- Lec-34: Various Operations in Fuzzy Logic with Example | Union, Intersection, Complement etc. 13:02
- Lec-35: Introduction to Neural Networks with Example in HINDI | Artificial Intelligence 11:20
- Lec-36: Natural Language Processing in Artificial Intelligence in Hindi | NLP with Demo and Examples 17:18
- Lec-37: Supervised, Unsupervised and Reinforcement Learning in Artificial Intelligence in Hindi 09:28
- Lec-38: Genetic Algorithm in Artificial Intelligence | Simplest Explanation with real life examples 12:24
- Lec-39: What is Constraint Satisfaction | Constraint Satisfaction Problem (CSP) in AI with Example 08:11
- Lec-40: How Constraint Satisfaction Algorithm Works | Explained with Interesting Example | AI 10:40
- Lec-41: Branch & Bound Algorithm with Example | Easiest Explanation of B&B with example 13:13
- Lec-42 : 0/1 Knapsack using Branch and Bound with example 11:20
- Lec-56: Reasoning under Uncertainty in Artificial Intelligence 08:28
- When There is Uncertaintyđ€š#artificialintelligence #shorts #ytshorts #machinelearning 00:32
- Lec-43: Propositional Logic | Artificial Intelligence 11:47
- Lec-44: Predicate Logic | Artificial Intelligence 10:11
- Lec-45: How to write First order/Predicate logic | Artificial Intelligence 09:24
- Lec-46: Negation of Quantifiers | Predicate Logic | Logic with Certainty | Artificial Intelligence 07:05
- Lec-48: Bayes Theorem & Total Probability with Examples 07:16
- Lec-47: Questions on Propositional & Predicate logic | How to Solve Problems in Logic 12:46
- Lec-49 : Network with Examples | Easiest Explanation 09:54
- Lec-50: Question on Bayesian Network | Artificial Intelligence 07:47
- Lec-53: Likelihood Weight Sampling | Inference through Sampling | Uncertainty in Artificial 09:08
- Lec-54: Question on Likelihood Sampling | Probabilistic Inference | Sampling | Artificial 08:07
- Lec-55: Rejection Sampling | Probabilistic Inference | Sampling | Artificial Intelligence 06:29
- Lec-52: Probabilistic Inference | Sampling | Artificial Intelligence 08:06
- Lec-51: Bayesian Network Numerical Example #gate2025preparation 07:10
- Lec-31: Token & Parameters in LLama3 META Models | 8B & 70B Parameters Model | GPT model 07:09
- Lec-57: Uncertainty probabilistic inference (Markov Model) | Artificial Intelligence 14:15
- Lec-58: Introduction to Hidden Markov Model | Artificial Intelligence 13:49
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