7 Supervised Learning –Unsupervised Learning Reinforcement

6 Parametric and Nonparametric Machine Learning

5 Learning Problem Formulation

4. Feature Extraction –Example Principle Component Analysis

Wampus Problem

Over Fitting Under Fitting

Feature Selection

Feature Vectors, Feature Spaces, Dimensionality

Propositional logic & Rules of Inference in Artificial intelligence

Knowledge-Based Agent in Artificial intelligence: & Types of Knowledge

Alpha Beta Pruning AI

Max Min Problem in AI

Hill Climbing in AI With Problem

Iterative deepening A*

A*Algorithm (Informed Search)

Best First Search

Heuristic Function

Water Jug Problem (State Space Diagram )

Vacuumed Cleaner Problem (State Space Diagram )

8 puzzel problem without Huristic function

Types of Agent in AI

Agent Environment Features

Agents in AI

Introduction of AI

L12

L11

Lec 10

Lec 9

08 12

Block Chain Lec 05 06