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Comprehensive Guide to Artificial Intelligence Techniques

Unlock AI Mastery: Explore Algorithms & Techniques with Gate Smashers!

4.0 (27)
300 learners

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
▶
  • Artificial Intelligence Syllabus Discussion and Analysis for NTA UGC NET11:26
  • What's the FUTURE of Artificial Intelligence in 202504:30
  • Lec-1: What is Artificial Intelligence | Learn AI with Real Life Examples | Can Machine Think??08:30
  • Lec-2: What is State Space Search | Introduction to Problem Solving in Artificial Intelligence10:47
  • Lec-3: Uninformed Vs Informed Search in Artificial Intelligence with Example08:17
  • Informed vs Uninformed vs Adversarial Search With Examples | Artificial Intelligence06:22
  • Lec-4: Breadth First Search (BFS) with example | Uninformed Search | Artificial Intelligence12:56
  • Lec-5: Depth First Search (DFS) with example | Uninformed Search | Artificial Intelligence09:12
  • Time & Space Complexity of BFS and DFS | Artificial Intelligence07:57
  • Lec-6: Bidirectional Search Algorithm in Artificial Intelligence in Hindi with Real Life Examples08:47
  • Lec-11: Best First Search Algorithm | How it Works | All Imp Points(Pros & Cons)14:41
  • Depth-Limited Search (DLS) Explained | Uninformed Search in AI13:10
  • Iterative Deepening Depth-First Search (IDDFS) | Artificial Intelligence05:10
  • Lec-7: 8-Puzzle Problem in Artificial Intelligence without Heuristic | All Imp Points | Must Watch11:04
  • Lec-8: What is Heuristic in AI | Why we use Heuristic | How to Calculate Heuristic | Must Watch12:57
  • Lec-9: How to Solve 8-Puzzle Problem with Heuristic(Informed Search) in Artificial Intelligence11:07
  • Lec-10: Generate and Test Search in Artificial Intelligence with Examples | Heuristic Search07:58
  • Lec-12: Beam Search Algorithm | All Imp Points | Heuristic Search Techniques12:02
  • Lec-13: Hill Climbing Algorithm in Artificial Intelligence with Real Life Examples| Heuristic Search10:13
  • Lec-14: A* algorithm in AI (artificial intelligence) in HINDI | A* algorithm with example14:33
  • Lec-15: How to Proof A* Admissible| Underestimation & Overestimation of A* in Hindi12:25
  • Lec-16: AO* algorithm in AI (artificial intelligence) in HINDI | AO* algorithm with example13:23
  • Lec-17: Introduction to Game Playing | Learn Game Playing Algorithms with Example07:07
  • Lec-18: Minimax Algorithm in Game Playing | Artificial Intelligence12:29
  • Lec-19: Alpha Beta Pruning in Hindi with Example | Artificial Intelligence16:21
  • Lec-20: Knowledge Representation and Reasoning | Logic, Semantic Net, Frames etc.07:44
  • Lec-21: Propositional Logic in Artificial Intelligence | Knowledge Representation | All Imp Points12:20
  • Lec-22: Introduction to Intelligent Agents and their types with Example in Artificial Intelligence11:10
  • Lec-23: Simple Reflex Agent in Artificial Intelligence with Example | Artificial Intelligence09:03
  • Lec-24: Model Based Reflex Agent in Artificial Intelligence in HINDI with Real Life Examples07:15
  • Lec-25: Goal Based Agents in Artificial Intelligence with real life examples in HINDI05:27
  • Utility Based Agents in Artificial Intelligence in Hindi with real life examples05:35
  • Fuzzy Logic in Artificial Intelligence with Example | Artificial Intelligence13:03
  • Various Operations in Fuzzy Logic with Example | Union, Intersection, Complement etc.13:02
  • Introduction to Neural Networks with Example in HINDI | Artificial Intelligence11:20
  • Natural Language Processing in Artificial Intelligence in Hindi | NLP with Demo and Examples17:18
  • Supervised, Unsupervised and Reinforcement Learning in Artificial Intelligence in Hindi09:28
  • Genetic Algorithm in Artificial Intelligence in Hindi | Simplest Explanation with real life examples12:23
  • What is Constraint Satisfaction | Constraint Satisfaction Problem (CSP) in AI with Example08:10
  • How Constraint Satisfaction Algorithm Works | Explained with Interesting Example | AI10:39
  • Branch & Bound Algorithm with Example | Easiest Explanation of B&B with example13:13
  • 0/1 Knapsack using Branch and Bound with example11:20
  • Reasoning under Uncertainty in Artificial Intelligence08:27
  • When There is Uncertainty🤨#artificialintelligence #shorts #ytshorts #machinelearning00:32
  • Propositional Logic | Artificial Intelligence11:46
  • Predicate Logic | Artificial Intelligence10:10
  • How to write First order/Predicate logic | Artificial Intelligence09:24
  • Negation of Quantifiers | Predicate Logic | Logic with Certainty | Artificial Intelligence07:04
  • Bayes Theorem & Total Probability with Examples07:15
  • Questions on Propositional & Predicate logic | How to Solve Problems in Logic12:45
  • Bayesian Network with Examples | Easiest Explanation09:54
  • Question on Bayesian Network | Artificial Intelligence07:46
  • Likelihood Weight Sampling | Inference through Sampling | Uncertainty in Artificial Intelligence09:07
  • Question on Likelihood Sampling | Probabilistic Inference | Sampling | Artificial Intelligence08:07
  • Rejection Sampling | Probabilistic Inference | Sampling | Artificial Intelligence06:29
  • Probabilistic Inference | Sampling | Artificial Intelligence08:06
  • Bayesian Network Numerical Example #gate2025preparation07:10
  • Lec-31: Token & Parameters in LLama3 META Models | 8B & 70B Parameters Model | GPT model07:08
  • Uncertainty probabilistic inference (Markov Model) | Artificial Intelligence14:14
  • Introduction to Hidden Markov Model | Artificial Intelligence13:48
Artificial Intelligence
Search Algorithms
Heuristic Search
Knowledge Representation
Machine Learning

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