Artificial Intelligence Lectures Hindi
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Course content
1 modules • 81 lessons • 11 hours of video
Artificial Intelligence Lectures Hindi
81 lessons
• 11 hours
Artificial Intelligence Lectures Hindi
81 lessons
• 11 hours
- L1: Artificial Intelligence Introduction, Goals, Reasons of Boost | Artificial Intelligence Lectures 08:18
- L2: Applications of Artificial Intelligence in various domains | Artificial Intelligence Lectures 08:33
- L3: Composition of Artificial Intelligence | Advantages, Disadvantages of Artificial Intelligence 07:01
- L4: Classification of Artificial Intelligence | Weak, Evolutionary, Strong | Artificial Intelligence 05:11
- L6: Artificial Intelligence Agents | Types of AI Agents | Artificial Intelligence Lectures in Hindi 21:32
- L7: PEAS in Artificial Intelligence | Grouping of AI Agents with Example of Self Driving Car | AI 06:15
- L8: Classification of Environment in Artificial Intelligence | Artificial Intelligence Lectures 09:29
- L10: Artificial Intelligence Task | Formal, Expert, Mundane Task | Artificial Intelligence Lectures 06:09
- L11: Uncertainty in Artificial Intelligence | Sources of Uncertainty | AI Lectures in Hindi 05:19
- L12: Turing Test in Artificial Intelligence with Configuration and Steps to Perform | AI Lectures 05:44
- L13: Chinese Room Test in Artificial Intelligence with Configuration & Steps to Perform | AI Course 06:01
- L14: Artificial Intelligence Technique | Knowledge Representation, Search Algorithm | AI Lectures 05:13
- L17: Breadth First Search(BFS) in Artificial Intelligence with Solved Examples | Uninformed Search 10:58
- L18: Depth First Search(DFS) in Artificial Intelligence with Solved Examples | Uninformed Search 10:19
- L19: Depth Limited Search in Artificial Intelligence with Example | Uninformed Search | AI Lectures 07:52
- L20: Uniform Cost Search in Artificial Intelligence with Solved Examples | Uninformed Search in AI 08:00
- L21: Bidirectional Search in Artificial Intelligence with Solved Examples | Uninformed Search in AI 08:11
- L22: Iterative Deepening Depth First Search in Artificial Intelligence with Solved Examples 06:11
- L23: Informed Search in Artificial Intelligence with Examples | Heuristic Function | AI Lectures 06:52
- L24: Heuristic Search in Artificial Intelligence | Admissible & Non-Admissible with Examples 10:22
- L25: Difference(Comparison) between Blind Search and Heuristic Search in Artificial Intelligence 04:49
- L26: Best First Search(BFS) | Informed Search in Artificial Intelligence with Examples | AI Lectures 11:25
- L27: Beam Search | Optimized Best First Search | Artificial Intelligence with Examples | AI Lectures 06:20
- L28: A Star(A*) Search Algorithm in Artificial Intelligence with Examples | Informed Search in AI 15:51
- L29: AO Star(AO*) Search Algorithm in Artificial Intelligence with Examples | Informed Search in AI 08:48
- L30: Hill Climbing Search in Artificial Intelligence | Limitation of Hill Climbing Search in AI 11:56
- L31: Branch and Bound Technique in Artificial Intelligence to find shortest solution | AI Lectures 10:56
- L32: Simulated Annealing in Artificial Intelligence | Difference Hill Climbing & Simulated Annealing 06:21
- L32-1: Steepest Ascent Hill Climbing | Artificial Intelligence | Compare with Simple Hill Climbing 08:45
- L33: Generate and Test Search in Artificial Intelligence | British Museum Search | AI Lectures Hindi 03:53
- L34: State Space Search | Eight Tile Puzzle Problem | Artificial Intelligence Lectures in Hindi 13:49
- L35: Single State and Multiple State Problem Formulation | Artificial Intelligence Lectures Hindi 07:13
- L36: Water Jug Problem in Artificial Intelligence | State Representation and Solution | AI Lectures 06:28
- L36-1: Default Reasoning in Artificial Intelligence | Non Monotonic and Default Logic | AI Lectures 06:26
- L37: Monotonic vs Non-Monotonic Reasoning in Artificial Intelligence | AI Lectures in Hindi 07:26
- L38: Production System in Artificial Intelligence | Characteristics, Advantages, Steps to Solve 08:09
- L39: Missionaries and Cannibals Problem in Artificial Intelligence with Solution | AI Lectures Hindi 06:36
- L40: N Queen Problem in Artificial Intelligence | 4 Queen, 8 Queen Problem with Solution | AI Course 10:44
- L41: Tower of Hanoi Problem in Artificial Intelligence with Solution | AI Lectures in Hindi 05:44
- L42: Tic Tac Toe Problem in Artificial Intelligence with Solution | AI Lectures in Hindi 05:21
- L43: Travelling Salesman Problem | State Representation in Artificial Intelligence with Solution 07:16
- L44: Blocks World Problem in Artificial Intelligence with Solution | AI Lectures in Hindi 04:55
- L46: CryptArithmetic Problem in Artificial Intelligence | TO+GO = OUT & SEND+MORE= MONEY Solutions 15:22
- L47: CryptArithmetic Problem in Artificial Intelligence | EAT + THAT = APPLE Problem Solution 02:50
- L48: CryptArithmetic Problem in Artificial Intelligence | SOME + TIME = SPENT Problem Solution 03:40
- L49: CryptArithmetic Problem | BASE + BALL = GAMES Problem Solution | Artificial Intelligence 05:38
- L50: CryptArithmetic Problem in Artificial Intelligence | CROSS + ROADS = DANGER Solution 08:23
- L52: Propositional Logic in Artificial Intelligence | Introduction and Alphabet Set | AI Lectures 06:26
- L53: Propositional Logic | Set of Equivalence Relation | Rules of Inference(MODUS PONENS, TOLLENS) 07:33
- L54: Tautology and Truth Table in Artificial Intelligence with Solved Example | AI Lectures in Hindi 05:36
- L56: First Order Logic (FOL) | Predicate Logic Introduction | Quantifiers in Predicate Logic | AI 11:01
- L58: Unification Algorithm in Artificial Intelligence with example | AI Lectures in Hindi 10:11
- L60: Forward chaining, Backward chaining | Example | Comparison | Artificial Intelligence Lectures 07:19
- L61: Significance of Inference Engine in Expert System | Forward and Backward Chaining | AI Lectures 04:08
- L62: Class Membership & Inclusion in Predicate Logic | Comparison of Predicate & Propositional Logic 08:16
- L64: Minimax Algorithm in Game Playing with examples | Artificial Intelligence Lectures in Hindi 12:08
- L66: Knowledge Acquisition | Artificial Intelligence | Architecture, Tasks, Techniques | AI Lectures 10:33
- L67: Knowledge Based System | Artificial Intelligence | Architecture, Components | AI Lectures Hindi 06:15
- L68: Knowledge Engineers Role | Knowledge Engineering Process | Knowledge Acquisition Difficulties 09:07
- L69: Knowledge Type | Artificial Intelligence | Procedural, Declarative, Meta, Heuristic, Structural 04:55
- L70: Semantic Networks in Artificial Intelligence | Components, Example | AI Lectures in Hindi 05:52
- L71: Frames for knowledge Representation in Artificial Intelligence | Attributes, Reasoning Actions 09:51
- L72: Scripts for knowledge Representation | Artificial Intelligence | Components | AI Lectures 08:47
- L73: Bayes Theorem in Artificial Intelligence with Applications & Example | AI Lectures in Hindi 10:56
- L74: Bayesian Belief Network in Artificial Intelligence | AI Lectures(Course) in Hindi 08:27
- L75: Fuzzy Logic System Architecture | Characteristics of Fuzzy Logic | Artificial Intelligence 09:56
- L76: Membership Function in Fuzzy Systems | Significance| Artificial Intelligence Lectures 07:06
- L78: Learning | Process, Components of Learner System | Artificial Intelligence Lectures in Hindi 06:41
- L79: Neuron Biological Model | Characteristics, Neurons, Axons, Dendrites | Artificial Intelligence 06:44
- L80: Artificial Neural Network Architecture | Advantages, Characteristics | Artificial Intelligence 09:07
- L81: Types of Artificial Neural Network(ANN) Architectures | Artificial Intelligence Course Hindi 07:01
- L82: Activation Function in Artificial Neural Network | Types, Importance | Artificial Intelligence 09:25
- L83: Supervised, Unsupervised and Reinforcement Learning in Neural Network | Artificial Intelligence 09:10
- L84: Recurrent Neural Network Architecture | RNN Working | Difference between RNN & Feed Forward N/W 11:54
- L85: MCP(McCulloch Pitts Neuron Model) | Artificial Intelligence Lectures(Course) in Hindi 06:32
- L86: Natural Language Processing | Introduction, Components | Artificial Intelligence Lectures 07:02
- L89: Expert System Architecture | Characteristics of Expert System | Artificial Intelligence Hindi 05:53
- L90: Comparison of Expert System with Conventional Computers | Application of Expert System | AI 08:38
- L91: Constraint Satisfaction Problem in Artificial Intelligence | NODE COLORING Problem Solution 12:10
- L92: Linearly Separable Patterns in Context of Linear Separability | AND, OR, XOR Problem | AI 09:22
- L93: Effect of Learning Rate on Back Propagation Algorithm | Artificial Intelligence Lectures Hindi 07:26
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