Starting a new Lecture Notes Series on Artificial Intelligence Lectures
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Artificial Intelligence Lectures By Lecture Notes together!
Lecture 43: L46: CryptArithmetic Problem in Artificial Intelligence | TO+GO = OUT & SEND+MORE= MONEY Solutions
Lecture 44: L47: CryptArithmetic Problem in Artificial Intelligence | EAT + THAT = APPLE Problem Solution
Lecture 45: L48: CryptArithmetic Problem in Artificial Intelligence | SOME + TIME = SPENT Problem Solution
Lecture 46: L49: CryptArithmetic Problem | BASE + BALL = GAMES Problem Solution | Artificial Intelligence
Lecture 47: L50: CryptArithmetic Problem in Artificial Intelligence | CROSS + ROADS = DANGER Solution
Lecture 48: L52: Propositional Logic in Artificial Intelligence | Introduction and Alphabet Set | AI Lectures
Lecture 49: L53: Propositional Logic | Set of Equivalence Relation | Rules of Inference(MODUS PONENS, TOLLENS)
Lecture 50: L54: Tautology and Truth Table in Artificial Intelligence with Solved Example | AI Lectures in Hindi
Lecture 51: L56: First Order Logic (FOL) | Predicate Logic Introduction | Quantifiers in Predicate Logic | AI
Lecture 52: L58: Unification Algorithm in Artificial Intelligence with example | AI Lectures in Hindi
Lecture 53: L60: Forward chaining, Backward chaining | Example | Comparison | Artificial Intelligence Lectures
Lecture 54: L61: Significance of Inference Engine in Expert System | Forward and Backward Chaining | AI Lectures
Lecture 55: L62: Class Membership & Inclusion in Predicate Logic | Comparison of Predicate & Propositional Logic
Lecture 56: L64: Minimax Algorithm in Game Playing with examples | Artificial Intelligence Lectures in Hindi
Lecture 57: L66: Knowledge Acquisition | Artificial Intelligence | Architecture, Tasks, Techniques | AI Lectures
Lecture 58: L67: Knowledge Based System | Artificial Intelligence | Architecture, Components | AI Lectures Hindi
Lecture 59: L68: Knowledge Engineers Role | Knowledge Engineering Process | Knowledge Acquisition Difficulties
Lecture 60: L69: Knowledge Type | Artificial Intelligence | Procedural, Declarative, Meta, Heuristic, Structural
Lecture 61: L70: Semantic Networks in Artificial Intelligence | Components, Example | AI Lectures in Hindi
Lecture 62: L71: Frames for knowledge Representation in Artificial Intelligence | Attributes, Reasoning Actions
Lecture 63: L72: Scripts for knowledge Representation | Artificial Intelligence | Components | AI Lectures
Lecture 64: L73: Bayes Theorem in Artificial Intelligence with Applications & Example | AI Lectures in Hindi
Lecture 66: L75: Fuzzy Logic System Architecture | Characteristics of Fuzzy Logic | Artificial Intelligence
Lecture 67: L76: Membership Function in Fuzzy Systems | Significance| Artificial Intelligence Lectures
Lecture 68: L78: Learning | Process, Components of Learner System | Artificial Intelligence Lectures in Hindi
Lecture 69: L79: Neuron Biological Model | Characteristics, Neurons, Axons, Dendrites | Artificial Intelligence
Lecture 70: L80: Artificial Neural Network Architecture | Advantages, Characteristics | Artificial Intelligence
Lecture 71: L81: Types of Artificial Neural Network(ANN) Architectures | Artificial Intelligence Course Hindi
Lecture 72: L82: Activation Function in Artificial Neural Network | Types, Importance | Artificial Intelligence
Lecture 73: L83: Supervised, Unsupervised and Reinforcement Learning in Neural Network | Artificial Intelligence
Lecture 74: L84: Recurrent Neural Network Architecture | RNN Working | Difference between RNN & Feed Forward N/W
Lecture 75: L85: MCP(McCulloch Pitts Neuron Model) | Artificial Intelligence Lectures(Course) in Hindi
Lecture 76: L86: Natural Language Processing | Introduction, Components | Artificial Intelligence Lectures
Lecture 77: L89: Expert System Architecture | Characteristics of Expert System | Artificial Intelligence Hindi
Lecture 78: L90: Comparison of Expert System with Conventional Computers | Application of Expert System | AI
Lecture 79: L91: Constraint Satisfaction Problem in Artificial Intelligence | NODE COLORING Problem Solution