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Artificial Intelligence

This subject walks you through the most important concepts step by step, starting from the foundations and moving towards practical exam-focused preparation. Use this page as your central place to revise topics, jump into notes, and quickly access practice material when you need it.

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U1

Introduction

topic 1

1 topics

Introduction: Introduction, basic component of AI, Identifying AI systems, branches of AI, etc.

U2

Reasoning and Knowledge Representation

topic 2

1 topics

Reasoning and Knowledge Representation: Introduction to Reasoning and Knowledge Representation, Propositional Logic, First order Logic

U3

Problem Solving by Searching

topic 3 to 4

2 topics

Problem Solving by Searching: Informed searching, Uninformed searching, Local searching

Constraint Satisfaction Problems

U4

Adversarial Search

topic 5

1 topics

Adversarial Search: Min-max algorithm, Alpha beta pruning, Game-playing

U5

Learning

topic 6

1 topics

Learning: Unsupervised learning, Supervised learning, Reinforcement learning

U6

Uncertainty handling

topic 7

1 topics

Uncertainty handling: Uncertainty in AI, Fuzzy logic

U7

Recent trends in AI and applications of AI algorithms

topic 8

1 topics

Recent trends in AI and applications of AI algorithms: trends, Case study of AI systems, Analysis of AI systems

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